a good research problem should be

The Research Problem & Statement

What they are & how to write them (with examples)

By: Derek Jansen (MBA) | Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to academic research, you’re bound to encounter the concept of a “ research problem ” or “ problem statement ” fairly early in your learning journey. Having a good research problem is essential, as it provides a foundation for developing high-quality research, from relatively small research papers to a full-length PhD dissertations and theses.

In this post, we’ll unpack what a research problem is and how it’s related to a problem statement . We’ll also share some examples and provide a step-by-step process you can follow to identify and evaluate study-worthy research problems for your own project.

Overview: Research Problem 101

What is a research problem.

• What is a problem statement?

Where do research problems come from?

• How to find a suitable research problem
• Key takeaways

A research problem is, at the simplest level, the core issue that a study will try to solve or (at least) examine. In other words, it’s an explicit declaration about the problem that your dissertation, thesis or research paper will address. More technically, it identifies the research gap that the study will attempt to fill (more on that later).

Let’s look at an example to make the research problem a little more tangible.

To justify a hypothetical study, you might argue that there’s currently a lack of research regarding the challenges experienced by first-generation college students when writing their dissertations [ PROBLEM ] . As a result, these students struggle to successfully complete their dissertations, leading to higher-than-average dropout rates [ CONSEQUENCE ]. Therefore, your study will aim to address this lack of research – i.e., this research problem [ SOLUTION ].

A research problem can be theoretical in nature, focusing on an area of academic research that is lacking in some way. Alternatively, a research problem can be more applied in nature, focused on finding a practical solution to an established problem within an industry or an organisation. In other words, theoretical research problems are motivated by the desire to grow the overall body of knowledge , while applied research problems are motivated by the need to find practical solutions to current real-world problems (such as the one in the example above).

As you can probably see, the research problem acts as the driving force behind any study , as it directly shapes the research aims, objectives and research questions , as well as the research approach. Therefore, it’s really important to develop a very clearly articulated research problem before you even start your research proposal . A vague research problem will lead to unfocused, potentially conflicting research aims, objectives and research questions .

What is a research problem statement?

As the name suggests, a problem statement (within a research context, at least) is an explicit statement that clearly and concisely articulates the specific research problem your study will address. While your research problem can span over multiple paragraphs, your problem statement should be brief , ideally no longer than one paragraph . Importantly, it must clearly state what the problem is (whether theoretical or practical in nature) and how the study will address it.

Here’s an example of a statement of the problem in a research context:

Rural communities across Ghana lack access to clean water, leading to high rates of waterborne illnesses and infant mortality. Despite this, there is little research investigating the effectiveness of community-led water supply projects within the Ghanaian context. Therefore, this study aims to investigate the effectiveness of such projects in improving access to clean water and reducing rates of waterborne illnesses in these communities.

As you can see, this problem statement clearly and concisely identifies the issue that needs to be addressed (i.e., a lack of research regarding the effectiveness of community-led water supply projects) and the research question that the study aims to answer (i.e., are community-led water supply projects effective in reducing waterborne illnesses?), all within one short paragraph.

Need a helping hand?

Wherever there is a lack of well-established and agreed-upon academic literature , there is an opportunity for research problems to arise, since there is a paucity of (credible) knowledge. In other words, research problems are derived from research gaps . These gaps can arise from various sources, including the emergence of new frontiers or new contexts, as well as disagreements within the existing research.

Let’s look at each of these scenarios:

New frontiers – new technologies, discoveries or breakthroughs can open up entirely new frontiers where there is very little existing research, thereby creating fresh research gaps. For example, as generative AI technology became accessible to the general public in 2023, the full implications and knock-on effects of this were (or perhaps, still are) largely unknown and therefore present multiple avenues for researchers to explore.

New contexts – very often, existing research tends to be concentrated on specific contexts and geographies. Therefore, even within well-studied fields, there is often a lack of research within niche contexts. For example, just because a study finds certain results within a western context doesn’t mean that it would necessarily find the same within an eastern context. If there’s reason to believe that results may vary across these geographies, a potential research gap emerges.

Disagreements – within many areas of existing research, there are (quite naturally) conflicting views between researchers, where each side presents strong points that pull in opposing directions. In such cases, it’s still somewhat uncertain as to which viewpoint (if any) is more accurate. As a result, there is room for further research in an attempt to “settle” the debate.

Of course, many other potential scenarios can give rise to research gaps, and consequently, research problems, but these common ones are a useful starting point. If you’re interested in research gaps, you can learn more here .

How to find a research problem

Given that research problems flow from research gaps , finding a strong research problem for your research project means that you’ll need to first identify a clear research gap. Below, we’ll present a four-step process to help you find and evaluate potential research problems.

If you’ve read our other articles about finding a research topic , you’ll find the process below very familiar as the research problem is the foundation of any study . In other words, finding a research problem is much the same as finding a research topic.

Step 1 – Identify your area of interest

Naturally, the starting point is to first identify a general area of interest . Chances are you already have something in mind, but if not, have a look at past dissertations and theses within your institution to get some inspiration. These present a goldmine of information as they’ll not only give you ideas for your own research, but they’ll also help you see exactly what the norms and expectations are for these types of projects.

At this stage, you don’t need to get super specific. The objective is simply to identify a couple of potential research areas that interest you. For example, if you’re undertaking research as part of a business degree, you may be interested in social media marketing strategies for small businesses, leadership strategies for multinational companies, etc.

Depending on the type of project you’re undertaking, there may also be restrictions or requirements regarding what topic areas you’re allowed to investigate, what type of methodology you can utilise, etc. So, be sure to first familiarise yourself with your institution’s specific requirements and keep these front of mind as you explore potential research ideas.

Step 2 – Review the literature and develop a shortlist

Once you’ve decided on an area that interests you, it’s time to sink your teeth into the literature . In other words, you’ll need to familiarise yourself with the existing research regarding your interest area. Google Scholar is a good starting point for this, as you can simply enter a few keywords and quickly get a feel for what’s out there. Keep an eye out for recent literature reviews and systematic review-type journal articles, as these will provide a good overview of the current state of research.

At this stage, you don’t need to read every journal article from start to finish . A good strategy is to pay attention to the abstract, intro and conclusion , as together these provide a snapshot of the key takeaways. As you work your way through the literature, keep an eye out for what’s missing – in other words, what questions does the current research not answer adequately (or at all)? Importantly, pay attention to the section titled “ further research is needed ”, typically found towards the very end of each journal article. This section will specifically outline potential research gaps that you can explore, based on the current state of knowledge (provided the article you’re looking at is recent).

Take the time to engage with the literature and develop a big-picture understanding of the current state of knowledge. Reviewing the literature takes time and is an iterative process , but it’s an essential part of the research process, so don’t cut corners at this stage.

As you work through the review process, take note of any potential research gaps that are of interest to you. From there, develop a shortlist of potential research gaps (and resultant research problems) – ideally 3 – 5 options that interest you.

Step 3 – Evaluate your potential options

Once you’ve developed your shortlist, you’ll need to evaluate your options to identify a winner. There are many potential evaluation criteria that you can use, but we’ll outline three common ones here: value, practicality and personal appeal.

Value – a good research problem needs to create value when successfully addressed. Ask yourself:

• Who will this study benefit (e.g., practitioners, researchers, academia)?
• How will it benefit them specifically?
• How much will it benefit them?

Practicality – a good research problem needs to be manageable in light of your resources. Ask yourself:

• What data will I need access to?
• What knowledge and skills will I need to undertake the analysis?
• What equipment or software will I need to process and/or analyse the data?
• How much time will I need?
• What costs might I incur?

Personal appeal – a research project is a commitment, so the research problem that you choose needs to be genuinely attractive and interesting to you. Ask yourself:

• How appealing is the prospect of solving this research problem (on a scale of 1 – 10)?
• Why, specifically, is it attractive (or unattractive) to me?
• Does the research align with my longer-term goals (e.g., career goals, educational path, etc)?

Depending on how many potential options you have, you may want to consider creating a spreadsheet where you numerically rate each of the options in terms of these criteria. Remember to also include any criteria specified by your institution . From there, tally up the numbers and pick a winner.

Step 4 – Craft your problem statement

Once you’ve selected your research problem, the final step is to craft a problem statement. Remember, your problem statement needs to be a concise outline of what the core issue is and how your study will address it. Aim to fit this within one paragraph – don’t waffle on. Have a look at the problem statement example we mentioned earlier if you need some inspiration.

Key Takeaways

We’ve covered a lot of ground. Let’s do a quick recap of the key takeaways:

• A research problem is an explanation of the issue that your study will try to solve. This explanation needs to highlight the problem , the consequence and the solution or response.
• A problem statement is a clear and concise summary of the research problem , typically contained within one paragraph.
• Research problems emerge from research gaps , which themselves can emerge from multiple potential sources, including new frontiers, new contexts or disagreements within the existing literature.
• To find a research problem, you need to first identify your area of interest , then review the literature and develop a shortlist, after which you’ll evaluate your options, select a winner and craft a problem statement .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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Home » Research Problem – Examples, Types and Guide

Research Problem – Examples, Types and Guide

Table of Contents

Research Problem

Definition:

Research problem is a specific and well-defined issue or question that a researcher seeks to investigate through research. It is the starting point of any research project, as it sets the direction, scope, and purpose of the study.

Types of Research Problems

Types of Research Problems are as follows:

Descriptive problems

These problems involve describing or documenting a particular phenomenon, event, or situation. For example, a researcher might investigate the demographics of a particular population, such as their age, gender, income, and education.

Exploratory problems

These problems are designed to explore a particular topic or issue in depth, often with the goal of generating new ideas or hypotheses. For example, a researcher might explore the factors that contribute to job satisfaction among employees in a particular industry.

Explanatory Problems

These problems seek to explain why a particular phenomenon or event occurs, and they typically involve testing hypotheses or theories. For example, a researcher might investigate the relationship between exercise and mental health, with the goal of determining whether exercise has a causal effect on mental health.

Predictive Problems

These problems involve making predictions or forecasts about future events or trends. For example, a researcher might investigate the factors that predict future success in a particular field or industry.

Evaluative Problems

These problems involve assessing the effectiveness of a particular intervention, program, or policy. For example, a researcher might evaluate the impact of a new teaching method on student learning outcomes.

How to Define a Research Problem

Defining a research problem involves identifying a specific question or issue that a researcher seeks to address through a research study. Here are the steps to follow when defining a research problem:

• Identify a broad research topic : Start by identifying a broad topic that you are interested in researching. This could be based on your personal interests, observations, or gaps in the existing literature.
• Conduct a literature review : Once you have identified a broad topic, conduct a thorough literature review to identify the current state of knowledge in the field. This will help you identify gaps or inconsistencies in the existing research that can be addressed through your study.
• Refine the research question: Based on the gaps or inconsistencies identified in the literature review, refine your research question to a specific, clear, and well-defined problem statement. Your research question should be feasible, relevant, and important to the field of study.
• Develop a hypothesis: Based on the research question, develop a hypothesis that states the expected relationship between variables.
• Define the scope and limitations: Clearly define the scope and limitations of your research problem. This will help you focus your study and ensure that your research objectives are achievable.
• Get feedback: Get feedback from your advisor or colleagues to ensure that your research problem is clear, feasible, and relevant to the field of study.

Components of a Research Problem

The components of a research problem typically include the following:

• Topic : The general subject or area of interest that the research will explore.
• Research Question : A clear and specific question that the research seeks to answer or investigate.
• Objective : A statement that describes the purpose of the research, what it aims to achieve, and the expected outcomes.
• Hypothesis : An educated guess or prediction about the relationship between variables, which is tested during the research.
• Variables : The factors or elements that are being studied, measured, or manipulated in the research.
• Methodology : The overall approach and methods that will be used to conduct the research.
• Scope and Limitations : A description of the boundaries and parameters of the research, including what will be included and excluded, and any potential constraints or limitations.
• Significance: A statement that explains the potential value or impact of the research, its contribution to the field of study, and how it will add to the existing knowledge.

Research Problem Examples

Following are some Research Problem Examples:

Research Problem Examples in Psychology are as follows:

• Exploring the impact of social media on adolescent mental health.
• Investigating the effectiveness of cognitive-behavioral therapy for treating anxiety disorders.
• Studying the impact of prenatal stress on child development outcomes.
• Analyzing the factors that contribute to addiction and relapse in substance abuse treatment.
• Examining the impact of personality traits on romantic relationships.

Research Problem Examples in Sociology are as follows:

• Investigating the relationship between social support and mental health outcomes in marginalized communities.
• Studying the impact of globalization on labor markets and employment opportunities.
• Analyzing the causes and consequences of gentrification in urban neighborhoods.
• Investigating the impact of family structure on social mobility and economic outcomes.
• Examining the effects of social capital on community development and resilience.

Research Problem Examples in Economics are as follows:

• Studying the effects of trade policies on economic growth and development.
• Analyzing the impact of automation and artificial intelligence on labor markets and employment opportunities.
• Investigating the factors that contribute to economic inequality and poverty.
• Examining the impact of fiscal and monetary policies on inflation and economic stability.
• Studying the relationship between education and economic outcomes, such as income and employment.

Political Science

Research Problem Examples in Political Science are as follows:

• Analyzing the causes and consequences of political polarization and partisan behavior.
• Investigating the impact of social movements on political change and policymaking.
• Studying the role of media and communication in shaping public opinion and political discourse.
• Examining the effectiveness of electoral systems in promoting democratic governance and representation.
• Investigating the impact of international organizations and agreements on global governance and security.

Environmental Science

Research Problem Examples in Environmental Science are as follows:

• Studying the impact of air pollution on human health and well-being.
• Investigating the effects of deforestation on climate change and biodiversity loss.
• Analyzing the impact of ocean acidification on marine ecosystems and food webs.
• Studying the relationship between urban development and ecological resilience.
• Examining the effectiveness of environmental policies and regulations in promoting sustainability and conservation.

Research Problem Examples in Education are as follows:

• Investigating the impact of teacher training and professional development on student learning outcomes.
• Studying the effectiveness of technology-enhanced learning in promoting student engagement and achievement.
• Analyzing the factors that contribute to achievement gaps and educational inequality.
• Examining the impact of parental involvement on student motivation and achievement.
• Studying the effectiveness of alternative educational models, such as homeschooling and online learning.

Research Problem Examples in History are as follows:

• Analyzing the social and economic factors that contributed to the rise and fall of ancient civilizations.
• Investigating the impact of colonialism on indigenous societies and cultures.
• Studying the role of religion in shaping political and social movements throughout history.
• Analyzing the impact of the Industrial Revolution on economic and social structures.
• Examining the causes and consequences of global conflicts, such as World War I and II.

Research Problem Examples in Business are as follows:

• Studying the impact of corporate social responsibility on brand reputation and consumer behavior.
• Investigating the effectiveness of leadership development programs in improving organizational performance and employee satisfaction.
• Analyzing the factors that contribute to successful entrepreneurship and small business development.
• Examining the impact of mergers and acquisitions on market competition and consumer welfare.
• Studying the effectiveness of marketing strategies and advertising campaigns in promoting brand awareness and sales.

Research Problem Example for Students

An Example of a Research Problem for Students could be:

“How does social media usage affect the academic performance of high school students?”

This research problem is specific, measurable, and relevant. It is specific because it focuses on a particular area of interest, which is the impact of social media on academic performance. It is measurable because the researcher can collect data on social media usage and academic performance to evaluate the relationship between the two variables. It is relevant because it addresses a current and important issue that affects high school students.

To conduct research on this problem, the researcher could use various methods, such as surveys, interviews, and statistical analysis of academic records. The results of the study could provide insights into the relationship between social media usage and academic performance, which could help educators and parents develop effective strategies for managing social media use among students.

Another example of a research problem for students:

“Does participation in extracurricular activities impact the academic performance of middle school students?”

This research problem is also specific, measurable, and relevant. It is specific because it focuses on a particular type of activity, extracurricular activities, and its impact on academic performance. It is measurable because the researcher can collect data on students’ participation in extracurricular activities and their academic performance to evaluate the relationship between the two variables. It is relevant because extracurricular activities are an essential part of the middle school experience, and their impact on academic performance is a topic of interest to educators and parents.

To conduct research on this problem, the researcher could use surveys, interviews, and academic records analysis. The results of the study could provide insights into the relationship between extracurricular activities and academic performance, which could help educators and parents make informed decisions about the types of activities that are most beneficial for middle school students.

Applications of Research Problem

Applications of Research Problem are as follows:

• Academic research: Research problems are used to guide academic research in various fields, including social sciences, natural sciences, humanities, and engineering. Researchers use research problems to identify gaps in knowledge, address theoretical or practical problems, and explore new areas of study.
• Business research : Research problems are used to guide business research, including market research, consumer behavior research, and organizational research. Researchers use research problems to identify business challenges, explore opportunities, and develop strategies for business growth and success.
• Healthcare research : Research problems are used to guide healthcare research, including medical research, clinical research, and health services research. Researchers use research problems to identify healthcare challenges, develop new treatments and interventions, and improve healthcare delivery and outcomes.
• Public policy research : Research problems are used to guide public policy research, including policy analysis, program evaluation, and policy development. Researchers use research problems to identify social issues, assess the effectiveness of existing policies and programs, and develop new policies and programs to address societal challenges.
• Environmental research : Research problems are used to guide environmental research, including environmental science, ecology, and environmental management. Researchers use research problems to identify environmental challenges, assess the impact of human activities on the environment, and develop sustainable solutions to protect the environment.

Purpose of Research Problems

The purpose of research problems is to identify an area of study that requires further investigation and to formulate a clear, concise and specific research question. A research problem defines the specific issue or problem that needs to be addressed and serves as the foundation for the research project.

Identifying a research problem is important because it helps to establish the direction of the research and sets the stage for the research design, methods, and analysis. It also ensures that the research is relevant and contributes to the existing body of knowledge in the field.

A well-formulated research problem should:

• Clearly define the specific issue or problem that needs to be investigated
• Be specific and narrow enough to be manageable in terms of time, resources, and scope
• Be relevant to the field of study and contribute to the existing body of knowledge
• Be feasible and realistic in terms of available data, resources, and research methods
• Be interesting and intellectually stimulating for the researcher and potential readers or audiences.

Characteristics of Research Problem

The characteristics of a research problem refer to the specific features that a problem must possess to qualify as a suitable research topic. Some of the key characteristics of a research problem are:

• Clarity : A research problem should be clearly defined and stated in a way that it is easily understood by the researcher and other readers. The problem should be specific, unambiguous, and easy to comprehend.
• Relevance : A research problem should be relevant to the field of study, and it should contribute to the existing body of knowledge. The problem should address a gap in knowledge, a theoretical or practical problem, or a real-world issue that requires further investigation.
• Feasibility : A research problem should be feasible in terms of the availability of data, resources, and research methods. It should be realistic and practical to conduct the study within the available time, budget, and resources.
• Novelty : A research problem should be novel or original in some way. It should represent a new or innovative perspective on an existing problem, or it should explore a new area of study or apply an existing theory to a new context.
• Importance : A research problem should be important or significant in terms of its potential impact on the field or society. It should have the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
• Manageability : A research problem should be manageable in terms of its scope and complexity. It should be specific enough to be investigated within the available time and resources, and it should be broad enough to provide meaningful results.

Advantages of Research Problem

The advantages of a well-defined research problem are as follows:

• Focus : A research problem provides a clear and focused direction for the research study. It ensures that the study stays on track and does not deviate from the research question.
• Clarity : A research problem provides clarity and specificity to the research question. It ensures that the research is not too broad or too narrow and that the research objectives are clearly defined.
• Relevance : A research problem ensures that the research study is relevant to the field of study and contributes to the existing body of knowledge. It addresses gaps in knowledge, theoretical or practical problems, or real-world issues that require further investigation.
• Feasibility : A research problem ensures that the research study is feasible in terms of the availability of data, resources, and research methods. It ensures that the research is realistic and practical to conduct within the available time, budget, and resources.
• Novelty : A research problem ensures that the research study is original and innovative. It represents a new or unique perspective on an existing problem, explores a new area of study, or applies an existing theory to a new context.
• Importance : A research problem ensures that the research study is important and significant in terms of its potential impact on the field or society. It has the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
• Rigor : A research problem ensures that the research study is rigorous and follows established research methods and practices. It ensures that the research is conducted in a systematic, objective, and unbiased manner.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Organizing Your Social Sciences Research Paper

• The Research Problem/Question
• Purpose of Guide
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A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question. In the social and behavioral sciences, studies are most often framed around examining a problem that needs to be understood and resolved in order to improve society and the human condition.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. “Competing Paradigms in Qualitative Research.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, editors. (Thousand Oaks, CA: Sage, 1994), pp. 105-117; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

Importance of...

The purpose of a problem statement is to:

• Introduce the reader to the importance of the topic being studied . The reader is oriented to the significance of the study.
• Anchors the research questions, hypotheses, or assumptions to follow . It offers a concise statement about the purpose of your paper.
• Place the topic into a particular context that defines the parameters of what is to be investigated.
• Provide the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social sciences, the research problem establishes the means by which you must answer the "So What?" question. This declarative question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What?" question requires a commitment on your part to not only show that you have reviewed the literature, but that you have thoroughly considered the significance of the research problem and its implications applied to creating new knowledge and understanding or informing practice.

To survive the "So What" question, problem statements should possess the following attributes:

• Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements; it also does include unspecific determinates like "very" or "giant"],
• Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, and understood],
• Identification of what would be studied, while avoiding the use of value-laden words and terms,
• Identification of an overarching question or small set of questions accompanied by key factors or variables,
• Identification of key concepts and terms,
• Articulation of the study's conceptual boundaries or parameters or limitations,
• Some generalizability in regards to applicability and bringing results into general use,
• Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
• Does not have unnecessary jargon or overly complex sentence constructions; and,
• Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Brown, Perry J., Allen Dyer, and Ross S. Whaley. "Recreation Research—So What?" Journal of Leisure Research 5 (1973): 16-24; Castellanos, Susie. Critical Writing and Thinking. The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Selwyn, Neil. "‘So What?’…A Question that Every Journal Article Needs to Answer." Learning, Media, and Technology 39 (2014): 1-5; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518.

Structure and Writing Style

I.  Types and Content

There are four general conceptualizations of a research problem in the social sciences:

• Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
• Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena. This a common approach to defining a problem in the clinical social sciences or behavioral sciences.
• Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe the significance of a situation, state, or existence of a specific phenomenon. This problem is often associated with revealing hidden or understudied issues.
• Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate specific qualities or characteristics that may be connected in some way.

A problem statement in the social sciences should contain :

• A lead-in that helps ensure the reader will maintain interest over the study,
• A declaration of originality [e.g., mentioning a knowledge void or a lack of clarity about a topic that will be revealed in the literature review of prior research],
• An indication of the central focus of the study [establishing the boundaries of analysis], and
• An explanation of the study's significance or the benefits to be derived from investigating the research problem.

NOTE :   A statement describing the research problem of your paper should not be viewed as a thesis statement that you may be familiar with from high school. Given the content listed above, a description of the research problem is usually a short paragraph in length.

II.  Sources of Problems for Investigation

The identification of a problem to study can be challenging, not because there's a lack of issues that could be investigated, but due to the challenge of formulating an academically relevant and researchable problem which is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life and in society that the researcher is familiar with. These deductions from human behavior are then placed within an empirical frame of reference through research. From a theory, the researcher can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis, and hence, the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. This can be an intellectually stimulating exercise. A review of pertinent literature should include examining research from related disciplines that can reveal new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue that any single discipline may be able to provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, lawyers, business leaders, etc., offers the chance to identify practical, “real world” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Don't undervalue your everyday experiences or encounters as worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society or related to your community, your neighborhood, your family, or your personal life. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary.

Relevant Literature The selection of a research problem can be derived from a thorough review of pertinent research associated with your overall area of interest. This may reveal where gaps exist in understanding a topic or where an issue has been understudied. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied in a different context or to different study sample [i.e., different setting or different group of people]. Also, authors frequently conclude their studies by noting implications for further research; read the conclusion of pertinent studies because statements about further research can be a valuable source for identifying new problems to investigate. The fact that a researcher has identified a topic worthy of further exploration validates the fact it is worth pursuing.

III.  What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1.  Compelling Topic The problem chosen should be one that motivates you to address it but simple curiosity is not a good enough reason to pursue a research study because this does not indicate significance. The problem that you choose to explore must be important to you, but it must also be viewed as important by your readers and to a the larger academic and/or social community that could be impacted by the results of your study. 2.  Supports Multiple Perspectives The problem must be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. 3.  Researchability This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian !

NOTE:   Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation. In short, a research topic is something to be understood; a research problem is something that needs to be investigated.

IV.  Asking Analytical Questions about the Research Problem

Research problems in the social and behavioral sciences are often analyzed around critical questions that must be investigated. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

• Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
• Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
• Provokes meaningful thought or discussion;
• Raises the visibility of the key ideas or concepts that may be understudied or hidden;
• Suggests the need for complex analysis or argument rather than a basic description or summary; and,
• Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE:   Questions of how and why concerning a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation and helps define the scope of the study in relation to the problem.

V.  Mistakes to Avoid

Beware of circular reasoning! Do not state the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following, "The problem in this community is that there is no hospital," this only leads to a research problem where:

• The need is for a hospital
• The objective is to create a hospital
• The method is to plan for building a hospital, and
• The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test . In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., perhaps there's a hospital in the community ten miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community ten miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital, but it was conducted ten years ago]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].

Alvesson, Mats and Jörgen Sandberg. “Generating Research Questions Through Problematization.” Academy of Management Review 36 (April 2011): 247-271 ; Choosing and Refining Topics. Writing@CSU. Colorado State University; D'Souza, Victor S. "Use of Induction and Deduction in Research in Social Sciences: An Illustration." Journal of the Indian Law Institute 24 (1982): 655-661; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question. The Writing Center. George Mason University; Invention: Developing a Thesis Statement. The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation. The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements. University College Writing Centre. University of Toronto; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006; Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Walk, Kerry. Asking an Analytical Question. [Class handout or worksheet]. Princeton University; White, Patrick. Developing Research Questions: A Guide for Social Scientists . New York: Palgrave McMillan, 2009; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

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Research Problem Statement — Find out how to write an impactful one!

Table of Contents

What Is a Research Problem Statement?

A research problem statement is a clear, concise, and specific statement that describes the issue or problem that the research project addresses. It should be written in a way that is easily understandable to both experts and non-experts in the field.

To write a research problem statement, you should:

• Identify the general area of interest: Start by identifying the general area of research that interests you.
• Define the specific problem: Narrow down the general area of interest to a specific problem or issue.
• Explain the significance of the problem: Provide context for the problem by explaining why it is important to study and what gap in current knowledge or understanding it fills.
• Provide a clear and concise statement: State the problem in a clear and concise manner, making sure to use language that is easily understood by your intended audience.
• Use a scientific and objective tone: The problem statement should be written in a neutral and objective tone, avoiding any subjective language and personal bias .

An Example of a Research Problem Statement

“The increasing prevalence of obesity in children is a growing public health concern. Despite the availability of information on healthy eating and physical activity, many children are still not engaging in healthy lifestyle behaviors. The problem this study addresses is the lack of understanding of the barriers and facilitators to healthy lifestyle behaviors in children.”

When to Write a Problem Statement in Research?

A research problem statement should be written at the beginning of the research process, before any data collection or analysis takes place. This is because the statement sets the foundation for the entire research project by clearly defining the problem that the research is trying to address.

Writing a problem statement early in the research process helps to guide the research design and methodology , and ensures that the research is focused on addressing the specific problem at hand. It also helps to ensure that the research is relevant and addresses a gap in current knowledge or understanding.

In addition, a well-written problem statement effectively communicates the purpose and significance of the research to potential funders, collaborators, and other stakeholders. It also generates interest and support for the research project.

It’s also important to note that, during the research process, the statement can be refined or updated as new information is discovered or as the research progresses. This is normal and it’s a good idea to revise the statement as needed to ensure that it remains clear and concise and that it accurately reflects the current focus of the research project.

What Does a Research Problem Statement Include?

A research problem statement typically includes the following elements:

1. The research topic:

The general area of interest or field of study that the research project addresses.

2. The specific problem or issue:

A clear and concise statement of the problem or issue that the research project aims to address.

3. The significance of the problem:

A discussion of why the problem is important and what gap in current knowledge or understanding it fills.

4. The research questions:

A set of questions that the research project aims to answer, in order to address the problem or issue.

5. The research objectives:

A set of specific and measurable objectives that the research project aims to achieve.

6. The scope of the research:

A description of the specific population, setting, or context that the research project will focus on.

7. The theoretical framework:

A discussion of the theoretical concepts and principles that inform the research project.

8. The research design:

A description of the research methodologies that will be used to collect and analyze data in order to address the research questions and objectives.

It’s important to note that the problem statement is usually brief and concise, typically a few sentences or a short paragraph. But it should provide enough information to convey the main idea of the research project.

Important Features of Research Problem Statement

The problem statement should be clear and easy to understand. Write it in a way that is accessible to both experts and non-experts in the field.

2. Specificity

The statement should be specific and clearly define the problem or issue that the research project aims to address. It should be narrow enough to be manageable, but broad enough to be of interest to others in the field.

3. Significance

The statement should explain why the problem is important and what gap in current knowledge or understanding it fills. It should provide context for the research project and help to justify its importance.

4. Relevance

The statement should be relevant to the field of study and address an issue that is currently of concern to researchers.

5. Research questions

The statement should include a set of research questions that the research project aims to answer in order to address the problem or issue.

6. Research objectives

The statement should include a set of specific and measurable objectives that the research project aims to achieve.

The statement should define the specific population, setting, or context that the research project will focus on.

8. Theoretical framework

The statement should provide an overview of the theoretical concepts and principles that inform the research project.

9. Research design

The statement should provide an overview of the research methodologies. This will be useful collect and analyze data in order to address the research questions and objectives.

Difference Between a Thesis Statement and a Problem Statement

A thesis statement and a problem statement are related but distinct elements of a research project.

A thesis statement is a statement that summarizes the central argument or claim of a research paper or essay. It presents the main idea of the paper and sets the direction for the rest of the content. It’s usually located at the end of the introduction, and it’s often one sentence.

A problem statement, on the other hand, is a statement that describes a specific problem or issue that the research project aims to address. It sets the foundation for the entire research project by clearly defining the research problem. It is usually located at the beginning of a research paper or proposal, and is of one or a few paragraphs.

In summary, a thesis statement is a summary of the main point or key argument of the research paper. A problem statement describes the specific issue that the research project aims to address. A thesis statement is more focused on the final outcome of the research. While a problem statement is focused on the current state of knowledge and the gap in understanding that the research project aims to fill.

In Conclusion

A problem statement is a critical component of the research project, as it provides a clear and concise roadmap for the research, and helps to ensure that the research is well-designed and addresses a significant and relevant issue.

We hope this blog has clarified your doubts and confusion associated with research problem statement and helps you write an effective statement for your research project!

comprehensive contents. thanks!

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How to Write a Statement of the Problem for Your Research Proposal

Defining your research problem is essential when conducting an experiment. In this article, you will learn how to write a statement of the problem for your research proposal. Learn about the characteristics of a good statement of the problem and examples of research questions.

Updated on May 17, 2022

You are a great researcher. You are full of ideas and questions as to where to go next with your work. You would not be in this position if you were not good at coming up with interesting questions within your area.

One problem, though, is knowing where to spend your time, energy, and money. Which ideas, questions, and problems are worthwhile?

You need to be able to define a good research problem. A research problem addresses an existing gap in knowledge in your field and leads to further investigations by you and other researchers. Inspiring others with your research problem will lead to citations, enhancing your and your institution's impact.

In order to write a clear and useful problem statement, you need to describe a question and its consequences.

One key way to assess the ‘usefulness' of your research ideas is to learn how to express them as clear problems.

In this article, we will talk about how to write a statement of the problem for your next research proposal. This is important not just for assessing the ‘usefulness' of research ideas, but also for formulating a grant application or proposal. We'll talk about how to explain your research ideas to others in the form of a problem statement in your proposal.

What is a statement of the problem in research?

All research projects should start with a clear problem statement. A problem statement is a formulation of an issue which is usually a ‘gap' within your area. A research gap is an unanswered question, an issue, controversy, or untested hypothesis that has not yet been addressed.

The trick with research problems is working out whether they are actually worth investing the time, energy, and money to figure out. This comes with experience, or you could just read on!

Since a clear problem statement is going to form the basis of your next research project, the question is: How can I write one?

How is this done? The first step is to become familiar with the basic elements of a problem statement in effective research.

Characteristics of a problem statement

A research problem statement has two key attributes:

• The problem must be challenging and original, but also potentially achievable by your team.
• The problem must not be incremental. In other words, don't try to address a small change or advance on an existing study that leads to no new scientific insight. This could be damaging to your and your team's reputation, and will likely not lead to a meaningful publication.

Developing a ‘good' research problem statement, therefore, involves systematic planning and setting time-based, realistic objectives. Your problem has to be achievable.

You'll also need to apply feasible research methods based on an approach that best suits the research question. Your methods have to make sense. They must be usable. In other words, you must be able to acquire statistically sufficient and relevant data that is reproducible.

Finally, the problem you define means you'll need to train team members in this particular research area and methods.

Writing a statement of the problem

Stating a research problem is done by defining it within the general area of your research. This depends on your previous work and experience. It may be an area you want to move into or a topic related to what you have already worked on as a researcher. Examples could include a question in astrophysics within physics, robotics within engineering, nutrition within medicine, or marine biology within ocean and Earth science.

Once you've determined your overall area (and you'll know this already of course), it's time to drill down, decide, and define a research problem within that field.

First , your statement should identify a problem that needs to be addressed within your selected sub-area.

This will almost certainly require literature work, but the idea may arise from:

• Discussions you've had with colleagues;
• Discussions at a conference;
• A paper you've read.

Second , your problem statement should be a “good research problem.” This will require further investigation and reading as you consider “what has been done?” and “what needs to be done?”

Third , search for more information, perhaps by:

• Locating relevant books, papers and other materials;
• Evaluating the quality and authority of the information collected;
• Maintaining a regular literature review throughout the project;
• Making regular notes on background material;
• Deciding how this literature search will be carried out within the research group;
• Deciding how information gained will be disseminated to the group (e.g., via each researcher carrying out a regular literature review in their sub-area and information disseminated at group meetings or via email at regular intervals).

This process may well change or modify how your research problem is stated or formulated.

Once your research problem has been identified, research questions within the problem need to be specified.

How long should your statement of the problem be?

Not too long. One page is more than enough for a clear and effective problem statement.

Research questions within your problem

The first stage of writing your research problem statement involves formulating your questions in a meaningful way. In the context of important questions, we are looking for things that many readers across different disciplines find to be interesting. But at the same time, set your question within your field.

Thus, once a research problem has been established, several questions can be written down. These questions should specify exactly what needs to be determined to address the problem.

These questions should also be specific enough that they can be answered using appropriate available research methods - or methods that could be made available to the research group (e.g. by buying or borrowing equipment).

These questions should require complex in-depth investigation, analysis, and argument. They should not be simple enough that they can be answered easily with well-established facts or yes/no answers.

All research questions should be focused, specific, appropriately complex, and relevant to the overall aims of the project.

Examples of questions and next steps

• How do government regulations prevent companies from polluting water systems?
• What factors have influenced population growth in the fastest growing countries?
• How can a bespoke thermal desorption unit be designed and built for use in detection of trace particulate matter in a polluted environment (e.g., a busy city street)?
• What methods and procedures can be used to understand, and hence control, fundamental chemical processes that occur in flames?
• How can measurement protocols used in mass spectrometry in a university research laboratory be developed and standardized to enable direct comparison with related measurements in a government laboratory?

Once the problem and questions have been identified, the resources required to carry out the research will need to be assessed. This will involve:

• Identifying the equipment needed. Find out what is available and what needs to be purchased.
• Assessing which consumables (e.g., chemicals) are needed for the project, and determining if they can be obtained on a regular basis (i.e., in the right quantities at the appropriate times).
• Identifying the software, data-analyses and other computer support needed. Assess what needs to be purchased.
• Assessing what laboratory and office space is needed. And if more is required, discuss this with the relevant laboratory manager.
• Identifying what support for travel is needed for the group, as well as what resources are required for the group to attend relevant conferences and training of group personnel.

Final thoughts

Defining and writing a clear statement of a problem as the basis of a project is the first - and most important - step in any research. The tips and ideas in this article will help you clearly identify the purpose of the research you are developing.

A clear research problem statement will likely form the skeleton of the Introduction of your final article. If you are able to clearly direct your reader (the most important person in the publishing process) to an important and interesting question, they will likely stay engaged, and use and cite your article in the future.

The AJE Team

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• How To Formulate A Research Problem

Introduction

In the dynamic realm of academia, research problems serve as crucial stepping stones for groundbreaking discoveries and advancements. Research problems lay the groundwork for inquiry and exploration that happens when conducting research. They direct the path toward knowledge expansion.

In this blog post, we will discuss the different ways you can identify and formulate a research problem. We will also highlight how you can write a research problem, its significance in guiding your research journey, and how it contributes to knowledge advancement.

Understanding the Essence of a Research Problem

A research problem is defined as the focal point of any academic inquiry. It is a concise and well-defined statement that outlines the specific issue or question that the research aims to address. This research problem usually sets the tone for the entire study and provides you, the researcher, with a clear purpose and a clear direction on how to go about conducting your research.

There are two ways you can consider what the purpose of your research problem is. The first way is that the research problem helps you define the scope of your study and break down what you should focus on in the research. The essence of this is to ensure that you embark on a relevant study and also easily manage it. 

The second way is that having a research problem helps you develop a step-by-step guide in your research exploration and execution. It directs your efforts and determines the type of data you need to collect and analyze. Furthermore, a well-developed research problem is really important because it contributes to the credibility and validity of your study.

It also demonstrates the significance of your research and its potential to contribute new knowledge to the existing body of literature in the world. A compelling research problem not only captivates the attention of your peers but also lays the foundation for impactful and meaningful research outcomes.

Identifying a Research Problem

To identify a research problem, you need a systematic approach and a deep understanding of the subject area. Below are some steps to guide you in this process:

• Conduct a Literature Review: Before you dive into your research problem, ensure you get familiar with the existing literature in your field. Analyze gaps, controversies, and unanswered questions. This will help you identify areas where your research can make a meaningful contribution.
• Consult with Peers and Mentors: Participate in discussions with your peers and mentors to gain insights and feedback on potential research problems. Their perspectives can help you refine and validate your ideas.
• Define Your Research Objectives: Clearly outline the objectives of your study. What do you want to achieve through your research? What specific outcomes are you aiming for?

Formulating a Research Problem

Once you have identified the general area of interest and specific research objectives, you can then formulate your research problem. Things to consider when formulating a research problem:

• Clarity and Specificity: Your research problem should be concise, specific, and devoid of ambiguity. Avoid vague statements that could lead to confusion or misinterpretation.
• Originality: Strive to formulate a research problem that addresses a unique and unexplored aspect of your field. Originality is key to making a meaningful contribution to the existing knowledge.
• Feasibility: Ensure that your research problem is feasible within the constraints of time, resources, and available data. Unrealistic research problems can hinder the progress of your study.
• Refining the Research Problem: It is common for the research problem to evolve as you delve deeper into your study. Don’t be afraid to refine and revise your research problem if necessary. Seek feedback from colleagues, mentors, and experts in your field to ensure the strength and relevance of your research problem.

How Do You Write a Research Problem?

Steps to consider in writing a Research Problem:

• Select a Topic: The first step in writing a research problem is to select a specific topic of interest within your field of study. This topic should be relevant, and meaningful, and have the potential to contribute to existing knowledge.
• Conduct a Literature Review: Before formulating your research problem, conduct a thorough literature review to understand the current state of research on your chosen topic. This will help you identify gaps, controversies, or areas that need further exploration.
• Identify the Research Gap: Based on your literature review, pinpoint the specific gap or problem that your research aims to address. This gap should be something that has not been adequately studied or resolved in previous research.
• Be Specific and Clear: The research problem should be framed in a clear and concise manner. It should be specific enough to guide your research but broad enough to allow for meaningful investigation.
• Ensure Feasibility: Consider the resources and constraints available to you when formulating the research problem. Ensure that it is feasible to address the problem within the scope of your study.
• Align your Research Goals: The research problem should align with the overall goals and objectives of your study. It should be directly related to the research questions you intend to answer.

Related: How to Write a Problem Statement for your Research

Research Problem vs Research Questions

Research Problem: The research problem is a broad statement that outlines the overarching issue or gap in knowledge that your research aims to address. It provides the context and motivation for your study and helps establish its significance and relevance. The research problem is typically stated in the introduction section of your research proposal or thesis.

Research Questions: Research questions are specific inquiries that you seek to answer through your research. These questions are derived from the research problem and help guide the focus of your study. They are often more detailed and narrow in scope compared to the research problem. Research questions are usually listed in the methodology section of your research proposal or thesis.

Difference Between a Research Problem and a Research Topic

Research Problem: A research problem is a specific issue, gap, or question that requires investigation and can be addressed through research. It is a clearly defined and focused problem that the researcher aims to solve or explore. The research problem provides the context and rationale for the study and guides the research process. It is usually stated as a question or a statement in the introduction section of a research proposal or thesis.

Example of a Research Problem: “ What are the factors influencing consumer purchasing decisions in the online retail industry ?”

Research Topic: A research topic, on the other hand, is a broader subject or area of interest within a particular field of study. It is a general idea or subject that the researcher wants to explore in their research. The research topic is more general and does not yet specify a specific problem or question to be addressed. It serves as the starting point for the research, and the researcher further refines it to formulate a specific research problem.

Example of a Research Topic: “ Consumer behavior in the online retail industry.”

In summary, a research topic is a general area of interest, while a research problem is a specific issue or question within that area that the researcher aims to investigate.

Difference Between a Research Problem and Problem Statement

Research Problem: As explained earlier, a research problem is a specific issue, gap, or question that you as a researcher aim to address through your research. It is a clear and concise statement that defines the focus of the study and provides a rationale for why it is worth investigating.

Example of a Research Problem: “What is the impact of social media usage on the mental health and well-being of adolescents?”

Problem Statement: The problem statement, on the other hand, is a brief and clear description of the problem that you want to solve or investigate. It is more focused and specific than the research problem and provides a snapshot of the main issue being addressed.

Example of a Problem Statement: “ The purpose of this study is to examine the relationship between social media usage and the mental health outcomes of adolescents, with a focus on depression, anxiety, and self-esteem.”

In summary, a research problem is the broader issue or question guiding the study, while the problem statement is a concise description of the specific problem being addressed in the research. The problem statement is usually found in the introduction section of a research proposal or thesis.

Challenges and Considerations

Formulating a research problem involves several challenges and considerations that researchers should carefully address:

• Feasibility: Before you finalize a research problem, it is crucial to assess its feasibility. Consider the availability of resources, time, and expertise required to conduct the research. Evaluate potential constraints and determine if the research problem can be realistically tackled within the given limitations.
• Novelty and Contribution: A well-crafted research problem should aim to contribute to existing knowledge in the field. Ensure that your research problem addresses a gap in the literature or provides innovative insights. Review past studies to understand what has already been done and how your research can build upon or offer something new.
• Ethical and Social Implications: Take into account the ethical and social implications of your research problem. Research involving human subjects or sensitive topics requires ethical considerations. Consider the potential impact of your research on individuals, communities, or society as a whole. 
• Scope and Focus: Be mindful of the scope of your research problem. A problem that is too broad may be challenging to address comprehensively, while one that is too narrow might limit the significance of the findings. Strike a balance between a focused research problem that can be thoroughly investigated and one that has broader implications.
• Clear Objectives: Ensure that your research problem aligns with specific research objectives. Clearly define what you intend to achieve through your study. Having well-defined objectives will help you stay on track and maintain clarity throughout the research process.
• Relevance and Significance: Consider the relevance and significance of your research problem in the context of your field of study. Assess its potential implications for theory, practice, or policymaking. A research problem that addresses important questions and has practical implications is more likely to be valuable to the academic community and beyond.
• Stakeholder Involvement: In some cases, involving relevant stakeholders early in the process of formulating a research problem can be beneficial. This could include experts in the field, practitioners, or individuals who may be impacted by the research. Their input can provide valuable insights that can help you enhance the quality of the research problem.

In conclusion, understanding how to formulate a research problem is fundamental for you to have meaningful research and intellectual growth. Remember that a well-crafted research problem serves as the foundation for groundbreaking discoveries and advancements in various fields. It not only enhances the credibility and relevance of your study but also contributes to the expansion of knowledge and the betterment of society.

Therefore, put more effort into the process of identifying and formulating research problems with enthusiasm and curiosity. Engage in comprehensive literature reviews, observe your surroundings, and reflect on the gaps in existing knowledge. Lastly, don’t forget to be mindful of the challenges and considerations, and ensure your research problem aligns with clear objectives and ethical principles.

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How to identify and resolve research problems

Updated July 12, 2023

In this article, we’re going to take you through one of the most pertinent parts of conducting research: a research problem (also known as a research problem statement).

When trying to formulate a good research statement, and understand how to solve it for complex projects, it can be difficult to know where to start.

Not only are there multiple perspectives (from stakeholders to project marketers who want answers), you have to consider the particular context of the research topic: is it timely, is it relevant and most importantly of all, is it valuable?

In other words: are you looking at a research worthy problem?

The fact is, a well-defined, precise, and goal-centric research problem will keep your researchers, stakeholders, and business-focused and your results actionable.

And when it works well, it's a powerful tool to identify practical solutions that can drive change and secure buy-in from your workforce.

Free eBook: The ultimate guide to market research

What is a research problem?

In social research methodology and behavioral sciences , a research problem establishes the direction of research, often relating to a specific topic or opportunity for discussion.

For example: climate change and sustainability, analyzing moral dilemmas or wage disparity amongst classes could all be areas that the research problem focuses on.

As well as outlining the topic and/or opportunity, a research problem will explain:

• why the area/issue needs to be addressed,
• why the area/issue is of importance,
• the parameters of the research study
• the research objective
• the reporting framework for the results and
• what the overall benefit of doing so will provide (whether to society as a whole or other researchers and projects).

Having identified the main topic or opportunity for discussion, you can then narrow it down into one or several specific questions that can be scrutinized and answered through the research process.

What are research questions?

Generating research questions underpinning your study usually starts with problems that require further research and understanding while fulfilling the objectives of the study.

A good problem statement begins by asking deeper questions to gain insights about a specific topic.

For example, using the problems above, our questions could be:

"How will climate change policies influence sustainability standards across specific geographies?"

"What measures can be taken to address wage disparity without increasing inflation?"

Developing a research worthy problem is the first step - and one of the most important - in any kind of research.

It’s also a task that will come up again and again because any business research process is cyclical. New questions arise as you iterate and progress through discovering, refining, and improving your products and processes. A research question can also be referred to as a "problem statement".

Note: good research supports multiple perspectives through empirical data. It’s focused on key concepts rather than a broad area, providing readily actionable insight and areas for further research.

Research question or research problem?

As we've highlighted, the terms “research question” and “research problem” are often used interchangeably, becoming a vague or broad proposition for many.

The term "problem statement" is far more representative, but finds little use among academics.

Instead, some researchers think in terms of a single research problem and several research questions that arise from it.

As mentioned above, the questions are lines of inquiry to explore in trying to solve the overarching research problem.

Ultimately, this provides a more meaningful understanding of a topic area.

It may be useful to think of questions and problems as coming out of your business data – that’s the O-data (otherwise known as operational data) like sales figures and website metrics.

What's an example of a research problem?

Your overall research problem could be: "How do we improve sales across EMEA and reduce lost deals?"

This research problem then has a subset of questions, such as:

"Why do sales peak at certain times of the day?"

"Why are customers abandoning their online carts at the point of sale?"

As well as helping you to solve business problems, research problems (and associated questions) help you to think critically about topics and/or issues (business or otherwise). You can also use your old research to aid future research -- a good example is laying the foundation for comparative trend reports or a complex research project.

(Also, if you want to see the bigger picture when it comes to research problems, why not check out our ultimate guide to market research? In it you'll find out: what effective market research looks like, the use cases for market research, carrying out a research study, and how to examine and action research findings).

The research process: why are research problems important?

A research problem has two essential roles in setting your research project on a course for success.

1. They set the scope

The research problem defines what problem or opportunity you’re looking at and what your research goals are. It stops you from getting side-tracked or allowing the scope of research to creep off-course .

Without a strong research problem or problem statement, your team could end up spending resources unnecessarily, or coming up with results that aren’t actionable - or worse, harmful to your business - because the field of study is too broad.

2. They tie your work to business goals and actions

To formulate a research problem in terms of business decisions means you always have clarity on what’s needed to make those decisions. You can show the effects of what you’ve studied using real outcomes.

Then, by focusing your research problem statement on a series of questions tied to business objectives, you can reduce the risk of the research being unactionable or inaccurate.

It's also worth examining research or other scholarly literature (you’ll find plenty of similar, pertinent research online) to see how others have explored specific topics and noting implications that could have for your research.

Four steps to defining your research problem

Image credit: http://myfreeschooltanzania.blogspot.com/2014/11/defining-research-problem.html

1. Observe and identify

Businesses today have so much data that it can be difficult to know which problems to address first. Researchers also have business stakeholders who come to them with problems they would like to have explored. A researcher’s job is to sift through these inputs and discover exactly what higher-level trends and key concepts are worth investing in.

This often means asking questions and doing some initial investigation to decide which avenues to pursue. This could mean gathering interdisciplinary perspectives identifying additional expertise and contextual information.

Sometimes, a small-scale preliminary study might be worth doing to help get a more comprehensive understanding of the business context and needs, and to make sure your research problem addresses the most critical questions.

This could take the form of qualitative research using a few in-depth interviews , an environmental scan, or reviewing relevant literature.

The sales manager of a sportswear company has a problem: sales of trail running shoes are down year-on-year and she isn’t sure why. She approaches the company’s research team for input and they begin asking questions within the company and reviewing their knowledge of the wider market.

2. Review the key factors involved

As a marketing researcher, you must work closely with your team of researchers to define and test the influencing factors and the wider context involved in your study. These might include demographic and economic trends or the business environment affecting the question at hand. This is referred to as a relational research problem.

To do this, you have to identify the factors that will affect the research and begin formulating different methods to control them.

You also need to consider the relationships between factors and the degree of control you have over them. For example, you may be able to control the loading speed of your website but you can’t control the fluctuations of the stock market.

Doing this will help you determine whether the findings of your project will produce enough information to be worth the cost.

You need to determine:

• which factors affect the solution to the research proposal.
• which ones can be controlled and used for the purposes of the company, and to what extent.
• the functional relationships between the factors.
• which ones are critical to the solution of the research study.

The research team at the running shoe company is hard at work. They explore the factors involved and the context of why YoY sales are down for trail shoes, including things like what the company’s competitors are doing, what the weather has been like – affecting outdoor exercise – and the relative spend on marketing for the brand from year to year.

The final factor is within the company’s control, although the first two are not. They check the figures and determine marketing spend has a significant impact on the company.

3. Prioritize

Once you and your research team have a few observations, prioritize them based on their business impact and importance. It may be that you can answer more than one question with a single study, but don’t do it at the risk of losing focus on your overarching research problem.

Questions to ask:

• Who? Who are the people with the problem? Are they end-users, stakeholders, teams within your business? Have you validated the information to see what the scale of the problem is?
• What? What is its nature and what is the supporting evidence?
• Why? What is the business case for solving the problem? How will it help?
• Where? How does the problem manifest and where is it observed?

To help you understand all dimensions, you might want to consider focus groups or preliminary interviews with external (including consumers and existing customers) and internal (salespeople, managers, and other stakeholders) parties to provide what is sometimes much-needed insight into a particular set of questions or problems.

After observing and investigating, the running shoe researchers come up with a few candidate questions, including:

• What is the relationship between US average temperatures and sales of our products year on year?
• At present, how does our customer base rank Competitor X and Competitor Y’s trail running shoe compared to our brand?
• What is the relationship between marketing spend and trail shoe product sales over the last 12 months?

They opt for the final question, because the variables involved are fully within the company’s control, and based on their initial research and stakeholder input, seem the most likely cause of the dive in sales. The research question is specific enough to keep the work on course towards an actionable result, but it allows for a few different avenues to be explored, such as the different budget allocations of offline and online marketing and the kinds of messaging used.

Get feedback from the key teams within your business to make sure everyone is aligned and has the same understanding of the research problem and questions, and the actions you hope to take based on the results. Now is also a good time to demonstrate the ROI of your research and lay out its potential benefits to your stakeholders.

Different groups may have different goals and perspectives on the issue. This step is vital for getting the necessary buy-in and pushing the project forward.

The running shoe company researchers now have everything they need to begin. They call a meeting with the sales manager and consult with the product team, marketing team, and C-suite to make sure everyone is aligned and has bought into the direction of the research topic. They identify and agree that the likely course of action will be a rethink of how marketing resources are allocated, and potentially testing out some new channels and messaging strategies .

Can you explore a broad area and is it practical to do so?

A broader research problem or report can be a great way to bring attention to prevalent issues, societal or otherwise, but are often undertaken by those with the resources to do so.

Take a typical government cybersecurity breach survey, for example. Most of these reports raise awareness of cybercrime, from the day-to-day threats businesses face to what security measures some organizations are taking. What these reports don't do, however, is provide actionable advice - mostly because every organization is different.

The point here is that while some researchers will explore a very complex issue in detail, others will provide only a snapshot to maintain interest and encourage further investigation. The "value" of the data is wholly determined by the recipients of it - and what information you choose to include.

To summarize, it can be practical to undertake a broader research problem, certainly, but it may not be possible to cover everything or provide the detail your audience needs. Likewise, a more systematic investigation of an issue or topic will be more valuable, but you may also find that you cover far less ground.

It's important to think about your research objectives and expected findings before going ahead.

Ensuring your research project is a success

A complex research project can be made significantly easier with clear research objectives, a descriptive research problem, and a central focus. All of which we've outlined in this article.

If you have previous research, even better. Use it as a benchmark

Remember: what separates a good research paper from an average one is actually very simple: valuable, empirical data that explores a prevalent societal or business issue and provides actionable insights.

And we can help.

Sophisticated research made simple with Qualtrics

Trusted by the world's best brands, our platform enables researchers from academic to corporate to tackle the hardest challenges and deliver the results that matter.

Our CoreXM platform supports the methods that define superior research and delivers insights in real-time. It's easy to use (thanks to drag-and-drop functionality) and requires no coding, meaning you'll be capturing data and gleaning insights in no time.

It also excels in flexibility; you can track consumer behavior across segments , benchmark your company versus competitors , carry out complex academic research, and do much more, all from one system.

It's one platform with endless applications, so no matter your research problem, we've got the tools to help you solve it. And if you don't have a team of research experts in-house, our market research team has the practical knowledge and tools to help design the surveys and find the respondents you need.

Of course, you may want to know where to begin with your own market research . If you're struggling, make sure to download our ultimate guide using the link below.

It's got everything you need and there’s always information in our research methods knowledge base.

Scott Smith

Scott Smith, Ph.D. is a contributor to the Qualtrics blog.

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The critical steps for successful research: The research proposal and scientific writing: (A report on the pre-conference workshop held in conjunction with the 64 th annual conference of the Indian Pharmaceutical Congress-2012)

Pitchai balakumar.

Pharmacology Unit, Faculty of Pharmacy, AIMST University, Semeling, 08100 Bedong. Kedah Darul Aman, Malaysia

Mohammed Naseeruddin Inamdar

1 Department of Pharmacology, Al-Ameen College of Pharmacy, Bengaluru, Karnataka, India

Gowraganahalli Jagadeesh

2 Division of Cardiovascular and Renal Products, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, USA

An interactive workshop on ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing’ was conducted in conjunction with the 64 th Annual Conference of the Indian Pharmaceutical Congress-2012 at Chennai, India. In essence, research is performed to enlighten our understanding of a contemporary issue relevant to the needs of society. To accomplish this, a researcher begins search for a novel topic based on purpose, creativity, critical thinking, and logic. This leads to the fundamental pieces of the research endeavor: Question, objective, hypothesis, experimental tools to test the hypothesis, methodology, and data analysis. When correctly performed, research should produce new knowledge. The four cornerstones of good research are the well-formulated protocol or proposal that is well executed, analyzed, discussed and concluded. This recent workshop educated researchers in the critical steps involved in the development of a scientific idea to its successful execution and eventual publication.

INTRODUCTION

Creativity and critical thinking are of particular importance in scientific research. Basically, research is original investigation undertaken to gain knowledge and understand concepts in major subject areas of specialization, and includes the generation of ideas and information leading to new or substantially improved scientific insights with relevance to the needs of society. Hence, the primary objective of research is to produce new knowledge. Research is both theoretical and empirical. It is theoretical because the starting point of scientific research is the conceptualization of a research topic and development of a research question and hypothesis. Research is empirical (practical) because all of the planned studies involve a series of observations, measurements, and analyses of data that are all based on proper experimental design.[ 1 – 9 ]

The subject of this report is to inform readers of the proceedings from a recent workshop organized by the 64 th Annual conference of the ‘ Indian Pharmaceutical Congress ’ at SRM University, Chennai, India, from 05 to 06 December 2012. The objectives of the workshop titled ‘The Critical Steps for Successful Research: The Research Proposal and Scientific Writing,’ were to assist participants in developing a strong fundamental understanding of how best to develop a research or study protocol, and communicate those research findings in a conference setting or scientific journal. Completing any research project requires meticulous planning, experimental design and execution, and compilation and publication of findings in the form of a research paper. All of these are often unfamiliar to naïve researchers; thus, the purpose of this workshop was to teach participants to master the critical steps involved in the development of an idea to its execution and eventual publication of the results (See the last section for a list of learning objectives).

THE STRUCTURE OF THE WORKSHOP

The two-day workshop was formatted to include key lectures and interactive breakout sessions that focused on protocol development in six subject areas of the pharmaceutical sciences. This was followed by sessions on scientific writing. DAY 1 taught the basic concepts of scientific research, including: (1) how to formulate a topic for research and to describe the what, why , and how of the protocol, (2) biomedical literature search and review, (3) study designs, statistical concepts, and result analyses, and (4) publication ethics. DAY 2 educated the attendees on the basic elements and logistics of writing a scientific paper and thesis, and preparation of poster as well as oral presentations.

The final phase of the workshop was the ‘Panel Discussion,’ including ‘Feedback/Comments’ by participants. There were thirteen distinguished speakers from India and abroad. Approximately 120 post-graduate and pre-doctoral students, young faculty members, and scientists representing industries attended the workshop from different parts of the country. All participants received a printed copy of the workshop manual and supporting materials on statistical analyses of data.

THE BASIC CONCEPTS OF RESEARCH: THE KEY TO GETTING STARTED IN RESEARCH

A research project generally comprises four key components: (1) writing a protocol, (2) performing experiments, (3) tabulating and analyzing data, and (4) writing a thesis or manuscript for publication.

Fundamentals in the research process

A protocol, whether experimental or clinical, serves as a navigator that evolves from a basic outline of the study plan to become a qualified research or grant proposal. It provides the structural support for the research. Dr. G. Jagadeesh (US FDA), the first speaker of the session, spoke on ‘ Fundamentals in research process and cornerstones of a research project .’ He discussed at length the developmental and structural processes in preparing a research protocol. A systematic and step-by-step approach is necessary in planning a study. Without a well-designed protocol, there would be a little chance for successful completion of a research project or an experiment.

Research topic

The first and the foremost difficult task in research is to identify a topic for investigation. The research topic is the keystone of the entire scientific enterprise. It begins the project, drives the entire study, and is crucial for moving the project forward. It dictates the remaining elements of the study [ Table 1 ] and thus, it should not be too narrow or too broad or unfocused. Because of these potential pitfalls, it is essential that a good or novel scientific idea be based on a sound concept. Creativity, critical thinking, and logic are required to generate new concepts and ideas in solving a research problem. Creativity involves critical thinking and is associated with generating many ideas. Critical thinking is analytical, judgmental, and involves evaluating choices before making a decision.[ 4 ] Thus, critical thinking is convergent type thinking that narrows and refines those divergent ideas and finally settles to one idea for an in-depth study. The idea on which a research project is built should be novel, appropriate to achieve within the existing conditions, and useful to the society at large. Therefore, creativity and critical thinking assist biomedical scientists in research that results in funding support, novel discovery, and publication.[ 1 , 4 ]

Elements of a study protocol

Research question

The next most crucial aspect of a study protocol is identifying a research question. It should be a thought-provoking question. The question sets the framework. It emerges from the title, findings/results, and problems observed in previous studies. Thus, mastering the literature, attendance at conferences, and discussion in journal clubs/seminars are sources for developing research questions. Consider the following example in developing related research questions from the research topic.

Hepatoprotective activity of Terminalia arjuna and Apium graveolens on paracetamol-induced liver damage in albino rats.

How is paracetamol metabolized in the body? Does it involve P450 enzymes? How does paracetamol cause liver injury? What are the mechanisms by which drugs can alleviate liver damage? What biochemical parameters are indicative of liver injury? What major endogenous inflammatory molecules are involved in paracetamol-induced liver damage?

A research question is broken down into more precise objectives. The objectives lead to more precise methods and definition of key terms. The objectives should be SMART-Specific, Measurable, Achievable, Realistic, Time-framed,[ 10 ] and should cover the entire breadth of the project. The objectives are sometimes organized into hierarchies: Primary, secondary, and exploratory; or simply general and specific. Study the following example:

To evaluate the safety and tolerability of single oral doses of compound X in normal volunteers.

To assess the pharmacokinetic profile of compound X following single oral doses.

To evaluate the incidence of peripheral edema reported as an adverse event.

The objectives and research questions are then formulated into a workable or testable hypothesis. The latter forces us to think carefully about what comparisons will be needed to answer the research question, and establishes the format for applying statistical tests to interpret the results. The hypothesis should link a process to an existing or postulated biologic pathway. A hypothesis is written in a form that can yield measurable results. Studies that utilize statistics to compare groups of data should have a hypothesis. Consider the following example:

• The hepatoprotective activity of Terminalia arjuna is superior to that of Apium graveolens against paracetamol-induced liver damage in albino rats.

All biological research, including discovery science, is hypothesis-driven. However, not all studies need be conducted with a hypothesis. For example, descriptive studies (e.g., describing characteristics of a plant, or a chemical compound) do not need a hypothesis.[ 1 ]

Relevance of the study

Another important section to be included in the protocol is ‘significance of the study.’ Its purpose is to justify the need for the research that is being proposed (e.g., development of a vaccine for a disease). In summary, the proposed study should demonstrate that it represents an advancement in understanding and that the eventual results will be meaningful, contribute to the field, and possibly even impact society.

Biomedical literature

A literature search may be defined as the process of examining published sources of information on a research or review topic, thesis, grant application, chemical, drug, disease, or clinical trial, etc. The quantity of information available in print or electronically (e.g., the internet) is immense and growing with time. A researcher should be familiar with the right kinds of databases and search engines to extract the needed information.[ 3 , 6 ]

Dr. P. Balakumar (Institute of Pharmacy, Rajendra Institute of Technology and Sciences, Sirsa, Haryana; currently, Faculty of Pharmacy, AIMST University, Malaysia) spoke on ‘ Biomedical literature: Searching, reviewing and referencing .’ He schematically explained the basis of scientific literature, designing a literature review, and searching literature. After an introduction to the genesis and diverse sources of scientific literature searches, the use of PubMed, one of the premier databases used for biomedical literature searches world-wide, was illustrated with examples and screenshots. Several companion databases and search engines are also used for finding information related to health sciences, and they include Embase, Web of Science, SciFinder, The Cochrane Library, International Pharmaceutical Abstracts, Scopus, and Google Scholar.[ 3 ] Literature searches using alternative interfaces for PubMed such as GoPubMed, Quertle, PubFocus, Pubget, and BibliMed were discussed. The participants were additionally informed of databases on chemistry, drugs and drug targets, clinical trials, toxicology, and laboratory animals (reviewed in ref[ 3 ]).

Referencing and bibliography are essential in scientific writing and publication.[ 7 ] Referencing systems are broadly classified into two major types, such as Parenthetical and Notation systems. Parenthetical referencing is also known as Harvard style of referencing, while Vancouver referencing style and ‘Footnote’ or ‘Endnote’ are placed under Notation referencing systems. The participants were educated on each referencing system with examples.

Bibliography management

Dr. Raj Rajasekaran (University of California at San Diego, CA, USA) enlightened the audience on ‘ bibliography management ’ using reference management software programs such as Reference Manager ® , Endnote ® , and Zotero ® for creating and formatting bibliographies while writing a manuscript for publication. The discussion focused on the use of bibliography management software in avoiding common mistakes such as incomplete references. Important steps in bibliography management, such as creating reference libraries/databases, searching for references using PubMed/Google scholar, selecting and transferring selected references into a library, inserting citations into a research article and formatting bibliographies, were presented. A demonstration of Zotero®, a freely available reference management program, included the salient features of the software, adding references from PubMed using PubMed ID, inserting citations and formatting using different styles.

Writing experimental protocols

The workshop systematically instructed the participants in writing ‘ experimental protocols ’ in six disciplines of Pharmaceutical Sciences.: (1) Pharmaceutical Chemistry (presented by Dr. P. V. Bharatam, NIPER, Mohali, Punjab); (2) Pharmacology (presented by Dr. G. Jagadeesh and Dr. P. Balakumar); (3) Pharmaceutics (presented by Dr. Jayant Khandare, Piramal Life Sciences, Mumbai); (4) Pharmacy Practice (presented by Dr. Shobha Hiremath, Al-Ameen College of Pharmacy, Bengaluru); (5) Pharmacognosy and Phytochemistry (presented by Dr. Salma Khanam, Al-Ameen College of Pharmacy, Bengaluru); and (6) Pharmaceutical Analysis (presented by Dr. Saranjit Singh, NIPER, Mohali, Punjab). The purpose of the research plan is to describe the what (Specific Aims/Objectives), why (Background and Significance), and how (Design and Methods) of the proposal.

The research plan should answer the following questions: (a) what do you intend to do; (b) what has already been done in general, and what have other researchers done in the field; (c) why is this worth doing; (d) how is it innovative; (e) what will this new work add to existing knowledge; and (f) how will the research be accomplished?

In general, the format used by the faculty in all subjects is shown in Table 2 .

Elements of a research protocol

Biostatistics

Biostatistics is a key component of biomedical research. Highly reputed journals like The Lancet, BMJ, Journal of the American Medical Association, and many other biomedical journals include biostatisticians on their editorial board or reviewers list. This indicates that a great importance is given for learning and correctly employing appropriate statistical methods in biomedical research. The post-lunch session on day 1 of the workshop was largely committed to discussion on ‘ Basic biostatistics .’ Dr. R. Raveendran (JIPMER, Puducherry) and Dr. Avijit Hazra (PGIMER, Kolkata) reviewed, in parallel sessions, descriptive statistics, probability concepts, sample size calculation, choosing a statistical test, confidence intervals, hypothesis testing and ‘ P ’ values, parametric and non-parametric statistical tests, including analysis of variance (ANOVA), t tests, Chi-square test, type I and type II errors, correlation and regression, and summary statistics. This was followed by a practice and demonstration session. Statistics CD, compiled by Dr. Raveendran, was distributed to the participants before the session began and was demonstrated live. Both speakers worked on a variety of problems that involved both clinical and experimental data. They discussed through examples the experimental designs encountered in a variety of studies and statistical analyses performed for different types of data. For the benefit of readers, we have summarized statistical tests applied frequently for different experimental designs and post-hoc tests [ Figure 1 ].

Conceptual framework for statistical analyses of data. Of the two kinds of variables, qualitative (categorical) and quantitative (numerical), qualitative variables (nominal or ordinal) are not normally distributed. Numerical data that come from normal distributions are analyzed using parametric tests, if not; the data are analyzed using non-parametric tests. The most popularly used Student's t -test compares the means of two populations, data for this test could be paired or unpaired. One-way analysis of variance (ANOVA) is used to compare the means of three or more independent populations that are normally distributed. Applying t test repeatedly in pair (multiple comparison), to compare the means of more than two populations, will increase the probability of type I error (false positive). In this case, for proper interpretation, we need to adjust the P values. Repeated measures ANOVA is used to compare the population means if more than two observations coming from same subject over time. The null hypothesis is rejected with a ‘ P ’ value of less than 0.05, and the difference in population means is considered to be statistically significant. Subsequently, appropriate post-hoc tests are used for pairwise comparisons of population means. Two-way or three-way ANOVA are considered if two (diet, dose) or three (diet, dose, strain) independent factors, respectively, are analyzed in an experiment (not described in the Figure). Categorical nominal unmatched variables (counts or frequencies) are analyzed by Chi-square test (not shown in the Figure)

Research and publication ethics

The legitimate pursuit of scientific creativity is unfortunately being marred by a simultaneous increase in scientific misconduct. A disproportionate share of allegations involves scientists of many countries, and even from respected laboratories. Misconduct destroys faith in science and scientists and creates a hierarchy of fraudsters. Investigating misconduct also steals valuable time and resources. In spite of these facts, most researchers are not aware of publication ethics.

Day 1 of the workshop ended with a presentation on ‘ research and publication ethics ’ by Dr. M. K. Unnikrishnan (College of Pharmaceutical Sciences, Manipal University, Manipal). He spoke on the essentials of publication ethics that included plagiarism (attempting to take credit of the work of others), self-plagiarism (multiple publications by an author on the same content of work with slightly different wordings), falsification (manipulation of research data and processes and omitting critical data or results), gift authorship (guest authorship), ghostwriting (someone other than the named author (s) makes a major contribution), salami publishing (publishing many papers, with minor differences, from the same study), and sabotage (distracting the research works of others to halt their research completion). Additionally, Dr. Unnikrishnan pointed out the ‘ Ingelfinger rule ’ of stipulating that a scientist must not submit the same original research in two different journals. He also advised the audience that authorship is not just credit for the work but also responsibility for scientific contents of a paper. Although some Indian Universities are instituting preventive measures (e.g., use of plagiarism detecting software, Shodhganga digital archiving of doctoral theses), Dr. Unnikrishnan argued for a great need to sensitize young researchers on the nature and implications of scientific misconduct. Finally, he discussed methods on how editors and peer reviewers should ethically conduct themselves while managing a manuscript for publication.

SCIENTIFIC COMMUNICATION: THE KEY TO SUCCESSFUL SELLING OF FINDINGS

Research outcomes are measured through quality publications. Scientists must not only ‘do’ science but must ‘write’ science. The story of the project must be told in a clear, simple language weaving in previous work done in the field, answering the research question, and addressing the hypothesis set forth at the beginning of the study. Scientific publication is an organic process of planning, researching, drafting, revising, and updating the current knowledge for future perspectives. Writing a research paper is no easier than the research itself. The lectures of Day 2 of the workshop dealt with the basic elements and logistics of writing a scientific paper.

An overview of paper structure and thesis writing

Dr. Amitabh Prakash (Adis, Auckland, New Zealand) spoke on ‘ Learning how to write a good scientific paper .’ His presentation described the essential components of an original research paper and thesis (e.g., introduction, methods, results, and discussion [IMRaD]) and provided guidance on the correct order, in which data should appear within these sections. The characteristics of a good abstract and title and the creation of appropriate key words were discussed. Dr. Prakash suggested that the ‘title of a paper’ might perhaps have a chance to make a good impression, and the title might be either indicative (title that gives the purpose of the study) or declarative (title that gives the study conclusion). He also suggested that an abstract is a succinct summary of a research paper, and it should be specific, clear, and concise, and should have IMRaD structure in brief, followed by key words. Selection of appropriate papers to be cited in the reference list was also discussed. Various unethical authorships were enumerated, and ‘The International Committee of Medical Journal Editors (ICMJE) criteria for authorship’ was explained ( http://www.icmje.org/ethical_1author.html ; also see Table 1 in reference #9). The session highlighted the need for transparency in medical publication and provided a clear description of items that needed to be included in the ‘Disclosures’ section (e.g., sources of funding for the study and potential conflicts of interest of all authors, etc.) and ‘Acknowledgements’ section (e.g., writing assistance and input from all individuals who did not meet the authorship criteria). The final part of the presentation was devoted to thesis writing, and Dr. Prakash provided the audience with a list of common mistakes that are frequently encountered when writing a manuscript.

The backbone of a study is description of results through Text, Tables, and Figures. Dr. S. B. Deshpande (Institute of Medical Sciences, Banaras Hindu University, Varanasi, India) spoke on ‘ Effective Presentation of Results .’ The Results section deals with the observations made by the authors and thus, is not hypothetical. This section is subdivided into three segments, that is, descriptive form of the Text, providing numerical data in Tables, and visualizing the observations in Graphs or Figures. All these are arranged in a sequential order to address the question hypothesized in the Introduction. The description in Text provides clear content of the findings highlighting the observations. It should not be the repetition of facts in tables or graphs. Tables are used to summarize or emphasize descriptive content in the text or to present the numerical data that are unrelated. Illustrations should be used when the evidence bearing on the conclusions of a paper cannot be adequately presented in a written description or in a Table. Tables or Figures should relate to each other logically in sequence and should be clear by themselves. Furthermore, the discussion is based entirely on these observations. Additionally, how the results are applied to further research in the field to advance our understanding of research questions was discussed.

Dr. Peush Sahni (All-India Institute of Medical Sciences, New Delhi) spoke on effectively ‘ structuring the Discussion ’ for a research paper. The Discussion section deals with a systematic interpretation of study results within the available knowledge. He said the section should begin with the most important point relating to the subject studied, focusing on key issues, providing link sentences between paragraphs, and ensuring the flow of text. Points were made to avoid history, not repeat all the results, and provide limitations of the study. The strengths and novel findings of the study should be provided in the discussion, and it should open avenues for future research and new questions. The Discussion section should end with a conclusion stating the summary of key findings. Dr. Sahni gave an example from a published paper for writing a Discussion. In another presentation titled ‘ Writing an effective title and the abstract ,’ Dr. Sahni described the important components of a good title, such as, it should be simple, concise, informative, interesting and eye-catching, accurate and specific about the paper's content, and should state the subject in full indicating study design and animal species. Dr. Sahni explained structured (IMRaD) and unstructured abstracts and discussed a few selected examples with the audience.

Language and style in publication

The next lecture of Dr. Amitabh Prakash on ‘ Language and style in scientific writing: Importance of terseness, shortness and clarity in writing ’ focused on the actual sentence construction, language, grammar and punctuation in scientific manuscripts. His presentation emphasized the importance of brevity and clarity in the writing of manuscripts describing biomedical research. Starting with a guide to the appropriate construction of sentences and paragraphs, attendees were given a brief overview of the correct use of punctuation with interactive examples. Dr. Prakash discussed common errors in grammar and proactively sought audience participation in correcting some examples. Additional discussion was centered on discouraging the use of redundant and expendable words, jargon, and the use of adjectives with incomparable words. The session ended with a discussion of words and phrases that are commonly misused (e.g., data vs . datum, affect vs . effect, among vs . between, dose vs . dosage, and efficacy/efficacious vs . effective/effectiveness) in biomedical research manuscripts.

Working with journals

The appropriateness in selecting the journal for submission and acceptance of the manuscript should be determined by the experience of an author. The corresponding author must have a rationale in choosing the appropriate journal, and this depends upon the scope of the study and the quality of work performed. Dr. Amitabh Prakash spoke on ‘ Working with journals: Selecting a journal, cover letter, peer review process and impact factor ’ by instructing the audience in assessing the true value of a journal, understanding principles involved in the peer review processes, providing tips on making an initial approach to the editorial office, and drafting an appropriate cover letter to accompany the submission. His presentation defined the metrics that are most commonly used to measure journal quality (e.g., impact factor™, Eigenfactor™ score, Article Influence™ score, SCOPUS 2-year citation data, SCImago Journal Rank, h-Index, etc.) and guided attendees on the relative advantages and disadvantages of using each metric. Factors to consider when assessing journal quality were discussed, and the audience was educated on the ‘green’ and ‘gold’ open access publication models. Various peer review models (e.g., double-blind, single-blind, non-blind) were described together with the role of the journal editor in assessing manuscripts and selecting suitable reviewers. A typical checklist sent to referees was shared with the attendees, and clear guidance was provided on the best way to address referee feedback. The session concluded with a discussion of the potential drawbacks of the current peer review system.

Poster and oral presentations at conferences

Posters have become an increasingly popular mode of presentation at conferences, as it can accommodate more papers per meeting, has no time constraint, provides a better presenter-audience interaction, and allows one to select and attend papers of interest. In Figure 2 , we provide instructions, design, and layout in preparing a scientific poster. In the final presentation, Dr. Sahni provided the audience with step-by-step instructions on how to write and format posters for layout, content, font size, color, and graphics. Attendees were given specific guidance on the format of text on slides, the use of color, font type and size, and the use of illustrations and multimedia effects. Moreover, the importance of practical tips while delivering oral or poster presentation was provided to the audience, such as speak slowly and clearly, be informative, maintain eye contact, and listen to the questions from judges/audience carefully before coming up with an answer.

Guidelines and design to scientific poster presentation. The objective of scientific posters is to present laboratory work in scientific meetings. A poster is an excellent means of communicating scientific work, because it is a graphic representation of data. Posters should have focus points, and the intended message should be clearly conveyed through simple sections: Text, Tables, and Graphs. Posters should be clear, succinct, striking, and eye-catching. Colors should be used only where necessary. Use one font (Arial or Times New Roman) throughout. Fancy fonts should be avoided. All headings should have font size of 44, and be in bold capital letters. Size of Title may be a bit larger; subheading: Font size of 36, bold and caps. References and Acknowledgments, if any, should have font size of 24. Text should have font size between 24 and 30, in order to be legible from a distance of 3 to 6 feet. Do not use lengthy notes

PANEL DISCUSSION: FEEDBACK AND COMMENTS BY PARTICIPANTS

After all the presentations were made, Dr. Jagadeesh began a panel discussion that included all speakers. The discussion was aimed at what we do currently and could do in the future with respect to ‘developing a research question and then writing an effective thesis proposal/protocol followed by publication.’ Dr. Jagadeesh asked the following questions to the panelists, while receiving questions/suggestions from the participants and panelists.

• Does a Post-Graduate or Ph.D. student receive adequate training, either through an institutional course, a workshop of the present nature, or from the guide?
• Are these Post-Graduates self-taught (like most of us who learnt the hard way)?
• How are these guides trained? How do we train them to become more efficient mentors?
• Does a Post-Graduate or Ph.D. student struggle to find a method (s) to carry out studies? To what extent do seniors/guides help a post graduate overcome technical difficulties? How difficult is it for a student to find chemicals, reagents, instruments, and technical help in conducting studies?
• Analyses of data and interpretation: Most students struggle without adequate guidance.
• Thesis and publications frequently feature inadequate/incorrect statistical analyses and representation of data in tables/graphs. The student, their guide, and the reviewers all share equal responsibility.
• Who initiates and drafts the research paper? The Post-Graduate or their guide?
• What kind of assistance does a Post-Graduate get from the guide in finalizing a paper for publication?
• Does the guide insist that each Post-Graduate thesis yield at least one paper, and each Ph.D. thesis more than two papers, plus a review article?

The panelists and audience expressed a variety of views, but were unable to arrive at a decisive conclusion.

WHAT HAVE THE PARTICIPANTS LEARNED?

At the end of this fast-moving two-day workshop, the participants had opportunities in learning the following topics:

• Sequential steps in developing a study protocol, from choosing a research topic to developing research questions and a hypothesis.
• Study protocols on different topics in their subject of specialization
• Searching and reviewing the literature
• Appropriate statistical analyses in biomedical research
• Scientific ethics in publication
• Writing and understanding the components of a research paper (IMRaD)
• Recognizing the value of good title, running title, abstract, key words, etc
• Importance of Tables and Figures in the Results section, and their importance in describing findings
• Evidence-based Discussion in a research paper
• Language and style in writing a paper and expert tips on getting it published
• Presentation of research findings at a conference (oral and poster).

Overall, the workshop was deemed very helpful to participants. The participants rated the quality of workshop from “ satisfied ” to “ very satisfied .” A significant number of participants were of the opinion that the time allotted for each presentation was short and thus, be extended from the present two days to four days with adequate time to ask questions. In addition, a ‘hands-on’ session should be introduced for writing a proposal and manuscript. A large number of attendees expressed their desire to attend a similar workshop, if conducted, in the near future.

ACKNOWLEDGMENT

We gratefully express our gratitude to the Organizing Committee, especially Professors K. Chinnasamy, B. G. Shivananda, N. Udupa, Jerad Suresh, Padma Parekh, A. P. Basavarajappa, Mr. S. V. Veerramani, Mr. J. Jayaseelan, and all volunteers of the SRM University. We thank Dr. Thomas Papoian (US FDA) for helpful comments on the manuscript.

The opinions expressed herein are those of Gowraganahalli Jagadeesh and do not necessarily reflect those of the US Food and Drug Administration

Source of Support: Nil

Conflict of Interest: None declared.

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5+ Elements of a Good Research Problem Explained

by  Antony W

March 10, 2023

  There’s more to writing a research paper for college or university than just knowing the structure of the assignment. You first have to find a research problem, come up with a research question , investigate the problem by doing further research, and then write the paper. 

As you can see, a research problem is the foundation of a research study that drives the experimental designs and real life experiments. Without a good research problem, it becomes difficult to define your specific area of study and challenging to develop a hypothesis .

So what exactly is a research problem? What makes a good research problem for scientific study and how do you come up with it?

In this guide, you’ll learn what a research problem is, the characteristics of a research problem, and the right way to find a research problem for your study.

What’s a Research Problem? 

A research problem is a theoretical or practical difficulty, issue, gap in knowledge, or contradiction that an individual or a group of people experience and to which they want to find an appropriate solution.

The problem can exist in scholarly literature, in practice, or in theory, and it often demands understanding and deliberate investigation.

A research problem must be specific in kind and good enough to contribute to change or expand existing knowledge. Note that a research problem neither states how to do something nor pose a value question. Rather, it presents a broad or vague proposition.

Why is a Research Problem Important?  

Identifying an interesting research paper topic isn’t an enough basis for academic research. You need to find a problem within your topic of choice so that you can end up with a focused project.

By identifying a good research problem, you won’t fall into the problem of repeating what others have already said on an issue. Also, you will be able to conduct your research with a very clear purpose and find new insights to solve the problem or fill the knowledge gap found in already existing research studies.

What are the Elements of a Good Research Problem? 

A problem must feature the following elements to qualify as an issue for a research study:

1. Your Research Problem Should be Clear and Concise 

If you can’t state a problem clearly and concisely, then it’s either a poor problem to investigate or not a problem at all.

Unfortunately, it’s not easy to determine if a clear statement can translate into a research problem unless you evaluate the statement with the help of others.

If other potential researchers think that you’ve struggled to state the issue in a clear paragraph, it may not make a suitable problem.

Remember that it’s not often easy to use simple terms to express complex issues. So it might take a while and a number of drafts before you can come up with a satisfactory statement that critics can understand and consider as research problems.

3. The Problem Should Relate to One or More Fields of Study 

You need to avoid research problems that don’t have a relationship with one or more fields of study. Not being able to relate a research problem to one or more fields means it’s impossible to determine where the problem lies.

Consider a research problem that relates to at least one field of study although more would be better. Also, make sure that the relational fields have adherents and boundaries.

3. The Research Problem Should Be Feasible 

A good research problem is one that you can study within a given timeframe and budget. Therefore, you should a problem that isn’t feasible to research.

4. A Good Problem is Grounded in Theory 

A problem that lacks a conceptual or theoretical framework for its analysis is not good enough for a research study.

That means you need to make sure the problem you’re considering relates to what you wish to investigate and to the background of the theory that interpret the results in the respective field of study.

5. Good Research Problems Have Base in Literature 

Another element of a good research problem is that it should relate to a research literature.

The literature should have been written by a group of researcher and published in journals. You may experience difficulties in establishing the connection between existing literature and some research problems.

However, a little bit of patience and more research should help you find a base.

6. A Good Research Problem Has a Significance 

A good research problem should account for the “so what” question.

Don’t just focus on the significance the problem has to you as a researcher. 

If the research question developed from the issue looks into who cares after you’ve solved the problem, you have a good research question that has a significance to others.

7. The Problem Should Generate Research Questions 

A good research problem is the one that allows you to generate one or more specific research questions. You should be able to read the statement problem and convert it into a question format that represents an aspect of the problem you wish to investigate.

The research question that you generate from the problem statement will not only provide a comprehensive framework for your research but also make the problem easier to address.

Keep in mind that developing research questions can be somewhat challenging, especially if you’re dealing with a complex issue. Should that be the case, make sure you spend enough time evaluating the general statement.

8. A Good Problem Has Sufficient Research Data 

It’s best to avoid a research problem that doesn’t have sufficient data (or written information) for investigation.

So before you consider a problem for your research study, look at the data banks developed over the years to see if there’s sufficient information that you can explore.

The above elements enable you to analyze an issue and see the extent to which it can measure up within your area of study.

To be clear, a research problem may not have all these elements, but a good problem should have a number of these elements at least.

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

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Research problem: Everything a market researcher needs to know

A research process includes several steps that assist individuals involved in a study in conducting successful testing. Defining a research problem is an essential step in any research and can help in outlining your study’s methodology.

LEARN ABOUT: Research Process Steps

In this article, we will define a research problem and go over everything a researcher should know.

Content Index

What is a research problem?

What is the research problem statement, what is the purpose of a research problem statement, characteristics of a research problem, characteristics of a research problem statement.

• Components of a research problem?

Steps to formulate a research problem

Marketing research problem example, research problem statement example, extensive research problem software, platform, and tool, top seven benefits of using a robust research software, advantages of formulating a research problem, how questionpro helps researchers solve research problems.

A research problem is a specific question, problem, or difficulty that needs to be investigated or analyzed.

It is a concise statement that expresses the difference between what is currently known and what needs to be known or the difference between a current situation and a desired state.

Examining research problems helps to identify the key concepts and terms of research. A research problem should be clear, concise, and specific enough to guide the process and contribute to the definition of research project objectives, methods, and outcomes. It is the foundation of any research project, and a well-formulated research problem is required for any research study to be successful.

A research problem statement is a brief and precise description of the problem that a researcher wishes to investigate. It defines the research’s focus and serves as a framework for developing research questions or hypotheses.

Typically, the problem statement begins with a broad topic or research area and then narrows down to a specific research question or problem. It should explain why the research is important, what gaps in knowledge or understanding exist, and what potential implications or applications the research may have.

A good research statement keeps the researcher focused and guides the research project’s development. It also assists other researchers in comprehending the scope and significance of the research, as well as identifying potential areas for collaboration or further investigation.

LEARN ABOUT:   Action Research

A problem statement in research seeks to achieve the following:

• Introduce the importance of the topic in the research proposal.
• Position the problem in an appropriate and particular context.
• Provide a framework to analyze and report results.

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Make sure to fulfill these essential characteristics to have an effective research problem. Due to the variety of research, we conduct, it is not possible to inculcate all these characteristics. However, ensure to consider and cover most of these characteristics to enable people to look at, examine, and understand the marketing research problem.

Covers the essential needs or issues

LEARN ABOUT: Market research vs marketing research

The problem is stated logically and clearly

The research project is based on actual facts and evidence (non-hypothetical), the research problem generates and encourages research questions, it fits the budget and time frame, sufficient data can be obtained, the problem has an unsatisfactory answer, or is it a new problem.

Here are the characteristics of a research problem statement:

• It must address the gap in knowledge.
• It must be significant to the extent that it contributes positively to the research
• It must help in further research
• The collected empirical data confirm the clarity and understandability of the research problem.
• It must be in the researcher’s interest should and suit his/her time, practical knowledge, research skills , and resources
• The problem-solving approach must be ethical
• Customary research methods can be applied

LEARN ABOUT: Theoretical Research

Components of a research problem

A research problem has the following components:

Research consumer

Research-consumers objective, alternative means to meet the objective, doubts in the selection of alternatives, there must be more than one environ­ment.

Here are the five basic steps to formulate a research problem:

Identify the broad research area

Divide the broad area into sub-areas.

• Profile of soccer players
• Profile of soccer clubs
• Level of soccer clubs
• Impact of the club on the city
• Revenue generating areas 
• Sponsors of the soccer clubs

Choose a sub-area

Formulate research questions, set research objectives.

Organizations and companies use marketing research problems to gauge the risks associated with launching a new product or service. They do not wish to spend money expanding a product line where research shows it will not succeed. A well-designed, well-executed marketing research study helps in identifying customer interests, consumer tastes, and preferences to help with decisions around the product or service.

A research question is the most important aspect of the research. You must spend time refining and assessing the research questions before getting started with the research activities. A research question must be straightforward, to the point, focused, and appropriately complex to capture the most relevant information.

Having difficulty writing research problems? Follow these examples to write a problem statement:

Incorrect: What are the effects of social media on people? Correct: What effect does use Facebook every day have on teenagers?

In the above example, the first research question is not specific enough to capture accurate feedback. Nobody knows what social media you’re talking about and what ‘people’ you’re referring to.

Let’s look at another marketing research problem example.

Incorrect: Who has a better healthcare system? The US or the UK? Correct: How do low-income earning people feel about the healthcare system, and how do the UK and the US compare?

The next research question is comprehensive and does not draw a definite conclusion about the healthcare systems of both countries.

The third example of how to write a problem statement is:

Incorrect: What will help political parties address the issues of low voter turnout? Correct: What communication strategies can political parties apply to increase voter turnout among people between the age of 25-30?

Again, comparing both statements, the second one is more direct and implies only a specific group of people, thus collecting actionable information.

Formulating a marketing research problem is just one crucial part of the research process. Another essential aspect of marketing research is using a robust market research software tool that aids in your research activity. 

For example, The Research methods knowledge base is a comprehensive web-based textbook that covers all the topics in a typical introductory undergraduate or graduate social research methods course. It covers the research question, measurement (surveys, scaling, qualitative, unobtrusive), research design (experimental and quasi-experimental research ), data analysis, and writing the research paper.

You can do a whole lot by choosing the right research platform to solve a specific problem. By using a  research repository , you can mitigate the need to think of research and a research problem as a decentralized process in your organization. 

Here are the benefits of using a robust research software tool

Powerful and efficient market research

Professional grade, powerful survey logic, collect unbiased data, data analysis, advanced analysis techniques, uncover brand insights.

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Here are the advantages of formulating a research problem:

Understanding the research procedure

Determining the research objective, design the research process, lays the foundation for research.

QuestionPro provides a number of tools and features to assist researchers in solving research problems, including:

• Survey creation:  QuestionPro offers to skip logic, branching, randomization, and a range of research question types.
• Data Collection:  QuestionPro lets researchers collect data through email, social media, and embedded surveys on websites.
• Real-time Data Analytics:  QuestionPro’s real-time data analytics solutions help researchers solve research issues. Researchers may quickly spot patterns and make data-driven decisions using the platform’s strong analytics tools.
• Collaboration:  Researchers can invite team members to surveys and exchange data and analytic results, making collaboration and task completion easy with QuestionPro.
• Integration with Other Tools:  QuestionPro integrates with a variety of other tools, including Salesforce, Hubspot, and Google Analytics.

QuestionPro provides a comprehensive set of research tools to assist researchers in solving research problems. QuestionPro provides a complete solution that can help researchers tackle their research problems with ease, from survey creation to data collection, real-time data analytics, collaboration, and integration with other tools. Contact QuestionPro right away to get the best value for your research process!

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Good Research Problem: Four Critical Elements

Are you still unsure what thesis topic to pursue while honing your skills in research? Or maybe you have already one but you are in doubt if it is a good research problem at all? Read on to find out if you’re on the right track.

One difficulty that graduating undergraduate and graduate students encounter while preparing their thesis involves the proper selection of their research problem. If you are one of them, how should you go about it? How will you know that the research problem is good enough for you to spend your time, money, and effort?

A Good Research Problem

You will find out that a research problem is good if you have critically assessed and satisfied at least two things:

• Does it address a gap in knowledge?
• Are there available methods to carry it out?
• Do you have the resources to pursue it?
• Is it ethical?

Look and see if you have these things at your disposal. If not, then you are not yet ready to do anything at all.

1. A Good Research Problem Addresses a Gap in Knowledge

Research is done to enrich information in a particular field. As knowledge progress in the different aspects of a discipline-oriented issue, other unanswered questions crop up. New challenges arise as we gain more knowledge.

Thus, a good research problem must consider what has not been done after an exhaustive literature review . It addresses a gap that requires a systematic collection and analysis of data for better understanding. It must not duplicate what has already been thoroughly examined by other researchers in interest of time, money, and effort.

2. Methods are Available and Doable

In doing any kind of research, you need to use a standardized research method so that other researchers can confirm your findings or you can compare your results with someone who pursued the same topic as yours.

You can ask yourself the following questions:

• What methods have been used so far to allow the resolution of the research problem?
• Would you want your method to be quantitative or qualitative?
• What instruments will you use to enable you to gather the data that you need?
• How will you analyze your data?

This requires you to browse the literature and look for methods on the topic at hand. Reviewing the literature will also help you keep up with current topics, identify which of the issues needs more information or lack data for a better understanding of a phenomenon.

Reviewing the literature doesn’t mean reading one or two scientific papers but several, or a lot, so that you can synthesize or point out what has been missed, inconsistent findings, or different conclusions between authors. This just that studies on that topic have not yet matured and that further studies need to be conducted to resolve pertinent issues.

3. Research Resources Allow You to Push Through with the Project

Resources refer to things such as time to complete the research, the amount of money you will need to do the activities associated with your research, your capacity as a researcher, availability of equipment needed for data collection and analysis, among others.

Attending conferences and talking with experts on a current issue can also guide you in your thinking. Is there local interest in pursuing the research issue? If there is, then you can take off from where others have left and discover new relationships between variables.

Once you find a good research problem where you can state it clearly and well, you can consider half of your work done. You are well on your way towards becoming an accomplished researcher.

4. A Good Research Problem Should be Ethical

Although the gathering of scientific evidence is a desirable activity to advance knowledge in different fields to improve human lives, no one must be put at a disadvantage. It must respect people’s privacy. Also, data gathering should ensure that the rights of individuals are not violated. They have the ultimate choice to submit to any requisites of a scientific investigation or experiment. Safety and confidentiality must be ensured.

Thus, a good research problem adheres to the principles of sound and humane practices that recognize and respect human rights — the essence of ethics — which has become a paramount concern for the past decade. History has seen the evils of experimentation that undermined human dignity.

Having incorporated these four critical elements in framing a research problem, you will gain the confidence you need to carry out an investigation along your field. Make research a worthwhile endeavor in your academic and work life.

© 2022 February 16 P. A. Regoniel

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4 tips on how to take pictures useful in your research, about the author, patrick regoniel.

Dr. Regoniel, a faculty member of the graduate school, served as consultant to various environmental research and development projects covering issues and concerns on climate change, coral reef resources and management, economic valuation of environmental and natural resources, mining, and waste management and pollution. He has extensive experience on applied statistics, systems modelling and analysis, an avid practitioner of LaTeX, and a multidisciplinary web developer. He leverages pioneering AI-powered content creation tools to produce unique and comprehensive articles in this website.

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How to Identify an Appropriate Research Problem

By Mansureh Kebritchi, Ph.D.

A research problem is the heart of the study. It is a clear, definite statement of the area of concern or investigation and is backed by evidence (Bryman, 2007).  It drives the research questions and processes and provides the framework for understanding the research findings. To begin, you will need to know where to look for your research problem and how to evaluate when a research problem for success.

Where to Find a Research Problem

Ideas for research problems tend to come from two sources: real life and the scholarly arena.  First, identifying a research problem can be as simple as observing the complications and issues in your local workplace. You may encounter ongoing issues on a daily basis in your workplace or observe your colleagues struggle with major issues or questions in your field. These ongoing obstacles and issues in the workplace can be the catalyst for developing a research problem.  

Alternatively, research problems can be identified by reviewing recent literature, reports, or databases in your field. Often the section on “recommendations for future studies” provided at the end of journal articles or doctoral dissertations suggests potential research problems. In addition, major reports and databases in the field may reveal findings or data-based facts that call for additional investigation or suggest potential issues to be addressed. Looking at what theories need to be tested is another opportunity to develop a research problem.

How to Evaluate a Research Problem 

Once you find your potential research problem, you will need to evaluate the problem and ensure that it is appropriate for research. A research problem is deemed appropriate when it is supported by the literature and considered significant, timely, novel, specific, and researchable.  Stronger research problems are more likely to succeed in publication, presentation, and application.

Supported by the Literature

Your research problem should be relevant to the field and supported by a number of recent peer-reviewed studies in the field. Even if you identify the problem based on the recommendation of one journal article or dissertation, you will still need to conduct a literature search and ensure that other researchers support the problem and the need for conducting research to further address the problem.

Significant

Your research problem should have a positive impact on the field. The impact can be practical, in the form of direct application of the results in the field, or conceptual, where the work advances the field by filling a knowledge gap.  

Your research problem should be related to the current needs in the field and well-suited for the present status of the issues in your field. Explore what topics are being covered in current journals in the field. Look at calls from relevant disciplinary organizations. Review your research center agenda and focused topics. For example, the topics of the Research Labs at the Center for Educational and Instructional Technology Research including critical thinking, social media and cultural competency, diversity, and Science, Technology, Engineering, and Mathematics (STEM) in higher education are representative of the current timely topics in the field of education.  Identifying a current question in the field and supporting the problem with recent literature can justify the problem's timeliness.

Your research problem should be original and unique. It should seek to address a gap in our knowledge or application. An exhaustive review of the literature can help you identify whether the problem has already been addressed with your particular sample and/or context. Talking to experts in the research area can illuminate a problem.  Replication of an existing study warrants a discussion of value elsewhere, but the novelty can be found in determining if an already-resolved problem holds in a new sample and/or context.

Specific and Clear

Your research problem should be specific enough to set the direction of the study, raise research question(s), and determine an appropriate research method and design. Vague research problems may not be useful to specify the direction of the study or develop research questions.  

Researchable

Research problems are solved through the scientific method. This means researchability, or feasibility of the problem, is more important than all of the above characteristics. You as the researcher should be able to solve the problem with your abilities and available research methods, designs, research sites, resources, and timeframe. If a research problem retains all of the aforementioned characteristics but it is not researchable, it may not be an appropriate research problem.

References and More Information

Bryman, Alan. “The Research Question in Social Research: What is its Role?”  International Journal of Social Research Methodology  10 (2007): 5-20.

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• How to Define a Research Problem | Ideas & Examples

How to Define a Research Problem | Ideas & Examples

Published on 8 November 2022 by Shona McCombes and Tegan George.

A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually the research problem focuses on one or the other. The type of research problem you choose depends on your broad topic of interest and the type of research you think will fit best.

This article helps you identify and refine a research problem. When writing your research proposal or introduction , formulate it as a problem statement and/or research questions .

Table of contents

Why is the research problem important, step 1: identify a broad problem area, step 2: learn more about the problem, frequently asked questions about research problems.

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you are likely to end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem in order to do research that contributes new and relevant insights.

Whether you’re planning your thesis , starting a research paper , or writing a research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

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As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems

If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organisation. You might look for:

• Issues with performance or efficiency
• Processes that could be improved
• Areas of concern among practitioners
• Difficulties faced by specific groups of people

Examples of practical research problems

Voter turnout in New England has been decreasing, in contrast to the rest of the country.

The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organisation faces a funding gap that means some of its programs will have to be cut.

Theoretical research problems

If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

• A phenomenon or context that has not been closely studied
• A contradiction between two or more perspectives
• A situation or relationship that is not well understood
• A troubling question that has yet to be resolved

Examples of theoretical research problems

The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.

The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy.

Historians of Scottish nationalism disagree about the role of the British Empire in the development of Scotland’s national identity.

Next, you have to find out what is already known about the problem, and pinpoint the exact aspect that your research will address.

Context and background

• Who does the problem affect?
• Is it a newly-discovered problem, or a well-established one?
• What research has already been done?
• What, if any, solutions have been proposed?
• What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

• What particular place, time, and/or group of people will you focus on?
• What aspects will you not be able to tackle?
• What will the consequences be if the problem is not resolved?

Example of a specific research problem

A local non-profit organisation focused on alleviating food insecurity has always fundraised from its existing support base. It lacks understanding of how best to target potential new donors. To be able to continue its work, the organisation requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a problem statement , as well as your research questions or hypotheses .

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

Research objectives describe what you intend your research project to accomplish.

They summarise the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

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Research Writing and Analysis

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Purpose statement overview.

The purpose statement succinctly explains (on no more than 1 page) the objectives of the research study. These objectives must directly address the problem and help close the stated gap. Expressed as a formula:

Good purpose statements:

• Flow from the problem statement and actually address the proposed problem
• Are concise and clear
• Answer the question ‘Why are you doing this research?’
• Match the methodology (similar to research questions)
• Have a ‘hook’ to get the reader’s attention
• Set the stage by clearly stating, “The purpose of this (qualitative or quantitative) study is to ...

In PhD studies, the purpose usually involves applying a theory to solve the problem. In other words, the purpose tells the reader what the goal of the study is, and what your study will accomplish, through which theoretical lens. The purpose statement also includes brief information about direction, scope, and where the data will come from.

A problem and gap in combination can lead to different research objectives, and hence, different purpose statements. In the example from above where the problem was severe underrepresentation of female CEOs in Fortune 500 companies and the identified gap related to lack of research of male-dominated boards; one purpose might be to explore implicit biases in male-dominated boards through the lens of feminist theory. Another purpose may be to determine how board members rated female and male candidates on scales of competency, professionalism, and experience to predict which candidate will be selected for the CEO position. The first purpose may involve a qualitative ethnographic study in which the researcher observes board meetings and hiring interviews; the second may involve a quantitative regression analysis. The outcomes will be very different, so it’s important that you find out exactly how you want to address a problem and help close a gap!

The purpose of the study must not only align with the problem and address a gap; it must also align with the chosen research method. In fact, the DP/DM template requires you to name the  research method at the very beginning of the purpose statement. The research verb must match the chosen method. In general, quantitative studies involve “closed-ended” research verbs such as determine , measure , correlate , explain , compare , validate , identify , or examine ; whereas qualitative studies involve “open-ended” research verbs such as explore , understand , narrate , articulate [meanings], discover , or develop .

A qualitative purpose statement following the color-coded problem statement (assumed here to be low well-being among financial sector employees) + gap (lack of research on followers of mid-level managers), might start like this:

In response to declining levels of employee well-being, the purpose of the qualitative phenomenology was to explore and understand the lived experiences related to the well-being of the followers of novice mid-level managers in the financial services industry. The levels of follower well-being have been shown to correlate to employee morale, turnover intention, and customer orientation (Eren et al., 2013). A combined framework of Leader-Member Exchange (LMX) Theory and the employee well-being concept informed the research questions and supported the inquiry, analysis, and interpretation of the experiences of followers of novice managers in the financial services industry.

A quantitative purpose statement for the same problem and gap might start like this:

In response to declining levels of employee well-being, the purpose of the quantitative correlational study was to determine which leadership factors predict employee well-being of the followers of novice mid-level managers in the financial services industry. Leadership factors were measured by the Leader-Member Exchange (LMX) assessment framework  by Mantlekow (2015), and employee well-being was conceptualized as a compound variable consisting of self-reported turnover-intent and psychological test scores from the Mental Health Survey (MHS) developed by Johns Hopkins University researchers.

Both of these purpose statements reflect viable research strategies and both align with the problem and gap so it’s up to the researcher to design a study in a manner that reflects personal preferences and desired study outcomes. Note that the quantitative research purpose incorporates operationalized concepts  or variables ; that reflect the way the researcher intends to measure the key concepts under study; whereas the qualitative purpose statement isn’t about translating the concepts under study as variables but instead aim to explore and understand the core research phenomenon.  

Best Practices for Writing your Purpose Statement

Always keep in mind that the dissertation process is iterative, and your writing, over time, will be refined as clarity is gradually achieved. Most of the time, greater clarity for the purpose statement and other components of the Dissertation is the result of a growing understanding of the literature in the field. As you increasingly master the literature you will also increasingly clarify the purpose of your study.

The purpose statement should flow directly from the problem statement. There should be clear and obvious alignment between the two and that alignment will get tighter and more pronounced as your work progresses.

The purpose statement should specifically address the reason for conducting the study, with emphasis on the word specifically. There should not be any doubt in your readers’ minds as to the purpose of your study. To achieve this level of clarity you will need to also insure there is no doubt in your mind as to the purpose of your study.

Many researchers benefit from stopping your work during the research process when insight strikes you and write about it while it is still fresh in your mind. This can help you clarify all aspects of a dissertation, including clarifying its purpose.

Your Chair and your committee members can help you to clarify your study’s purpose so carefully attend to any feedback they offer.

The purpose statement should reflect the research questions and vice versa. The chain of alignment that began with the research problem description and continues on to the research purpose, research questions, and methodology must be respected at all times during dissertation development. You are to succinctly describe the overarching goal of the study that reflects the research questions. Each research question narrows and focuses the purpose statement. Conversely, the purpose statement encompasses all of the research questions.

Identify in the purpose statement the research method as quantitative, qualitative or mixed (i.e., “The purpose of this [qualitative/quantitative/mixed] study is to ...)

Avoid the use of the phrase “research study” since the two words together are redundant.

Follow the initial declaration of purpose with a brief overview of how, with what instruments/data, with whom and where (as applicable) the study will be conducted. Identify variables/constructs and/or phenomenon/concept/idea. Since this section is to be a concise paragraph, emphasis must be placed on the word brief. However, adding these details will give your readers a very clear picture of the purpose of your research.

Developing the purpose section of your dissertation is usually not achieved in a single flash of insight. The process involves a great deal of reading to find out what other scholars have done to address the research topic and problem you have identified. The purpose section of your dissertation could well be the most important paragraph you write during your academic career, and every word should be carefully selected. Think of it as the DNA of your dissertation. Everything else you write should emerge directly and clearly from your purpose statement. In turn, your purpose statement should emerge directly and clearly from your research problem description. It is good practice to print out your problem statement and purpose statement and keep them in front of you as you work on each part of your dissertation in order to insure alignment.

It is helpful to collect several dissertations similar to the one you envision creating. Extract the problem descriptions and purpose statements of other dissertation authors and compare them in order to sharpen your thinking about your own work.  Comparing how other dissertation authors have handled the many challenges you are facing can be an invaluable exercise. Keep in mind that individual universities use their own tailored protocols for presenting key components of the dissertation so your review of these purpose statements should focus on content rather than form.

Once your purpose statement is set it must be consistently presented throughout the dissertation. This may require some recursive editing because the way you articulate your purpose may evolve as you work on various aspects of your dissertation. Whenever you make an adjustment to your purpose statement you should carefully follow up on the editing and conceptual ramifications throughout the entire document.

In establishing your purpose you should NOT advocate for a particular outcome. Research should be done to answer questions not prove a point. As a researcher, you are to inquire with an open mind, and even when you come to the work with clear assumptions, your job is to prove the validity of the conclusions reached. For example, you would not say the purpose of your research project is to demonstrate that there is a relationship between two variables. Such a statement presupposes you know the answer before your research is conducted and promotes or supports (advocates on behalf of) a particular outcome. A more appropriate purpose statement would be to examine or explore the relationship between two variables.

Your purpose statement should not imply that you are going to prove something. You may be surprised to learn that we cannot prove anything in scholarly research for two reasons. First, in quantitative analyses, statistical tests calculate the probability that something is true rather than establishing it as true. Second, in qualitative research, the study can only purport to describe what is occurring from the perspective of the participants. Whether or not the phenomenon they are describing is true in a larger context is not knowable. We cannot observe the phenomenon in all settings and in all circumstances.

Writing your Purpose Statement

It is important to distinguish in your mind the differences between the Problem Statement and Purpose Statement.

The Problem Statement is why I am doing the research

The Purpose Statement is what type of research I am doing to fit or address the problem

The Purpose Statement includes:

• Method of Study
• Specific Population

Remember, as you are contemplating what to include in your purpose statement and then when you are writing it, the purpose statement is a concise paragraph that describes the intent of the study, and it should flow directly from the problem statement.  It should specifically address the reason for conducting the study, and reflect the research questions.  Further, it should identify the research method as qualitative, quantitative, or mixed.  Then provide a brief overview of how the study will be conducted, with what instruments/data collection methods, and with whom (subjects) and where (as applicable). Finally, you should identify variables/constructs and/or phenomenon/concept/idea.

Qualitative Purpose Statement

Creswell (2002) suggested for writing purpose statements in qualitative research include using deliberate phrasing to alert the reader to the purpose statement. Verbs that indicate what will take place in the research and the use of non-directional language that do not suggest an outcome are key. A purpose statement should focus on a single idea or concept, with a broad definition of the idea or concept. How the concept was investigated should also be included, as well as participants in the study and locations for the research to give the reader a sense of with whom and where the study took place. 

Creswell (2003) advised the following script for purpose statements in qualitative research:

“The purpose of this qualitative_________________ (strategy of inquiry, such as ethnography, case study, or other type) study is (was? will be?) to ________________ (understand? describe? develop? discover?) the _________________(central phenomenon being studied) for ______________ (the participants, such as the individual, groups, organization) at __________(research site). At this stage in the research, the __________ (central phenomenon being studied) will be generally defined as ___________________ (provide a general definition)” (pg. 90).

Quantitative Purpose Statement

Creswell (2003) offers vast differences between the purpose statements written for qualitative research and those written for quantitative research, particularly with respect to language and the inclusion of variables. The comparison of variables is often a focus of quantitative research, with the variables distinguishable by either the temporal order or how they are measured. As with qualitative research purpose statements, Creswell (2003) recommends the use of deliberate language to alert the reader to the purpose of the study, but quantitative purpose statements also include the theory or conceptual framework guiding the study and the variables that are being studied and how they are related. 

Creswell (2003) suggests the following script for drafting purpose statements in quantitative research:

“The purpose of this _____________________ (experiment? survey?) study is (was? will be?) to test the theory of _________________that _________________ (compares? relates?) the ___________(independent variable) to _________________________(dependent variable), controlling for _______________________ (control variables) for ___________________ (participants) at _________________________ (the research site). The independent variable(s) _____________________ will be generally defined as _______________________ (provide a general definition). The dependent variable(s) will be generally defined as _____________________ (provide a general definition), and the control and intervening variables(s), _________________ (identify the control and intervening variables) will be statistically controlled in this study” (pg. 97).

Sample Purpose Statements

• The purpose of this qualitative study was to determine how participation in service-learning in an alternative school impacted students academically, civically, and personally.  There is ample evidence demonstrating the failure of schools for students at-risk; however, there is still a need to demonstrate why these students are successful in non-traditional educational programs like the service-learning model used at TDS.  This study was unique in that it examined one alternative school’s approach to service-learning in a setting where students not only serve, but faculty serve as volunteer teachers.  The use of a constructivist approach in service-learning in an alternative school setting was examined in an effort to determine whether service-learning participation contributes positively to academic, personal, and civic gain for students, and to examine student and teacher views regarding the overall outcomes of service-learning.  This study was completed using an ethnographic approach that included observations, content analysis, and interviews with teachers at The David School.
• The purpose of this quantitative non-experimental cross-sectional linear multiple regression design was to investigate the relationship among early childhood teachers’ self-reported assessment of multicultural awareness as measured by responses from the Teacher Multicultural Attitude Survey (TMAS) and supervisors’ observed assessment of teachers’ multicultural competency skills as measured by the Multicultural Teaching Competency Scale (MTCS) survey. Demographic data such as number of multicultural training hours, years teaching in Dubai, curriculum program at current school, and age were also examined and their relationship to multicultural teaching competency. The study took place in the emirate of Dubai where there were 14,333 expatriate teachers employed in private schools (KHDA, 2013b).
• The purpose of this quantitative, non-experimental study is to examine the degree to which stages of change, gender, acculturation level and trauma types predicts the reluctance of Arab refugees, aged 18 and over, in the Dearborn, MI area, to seek professional help for their mental health needs. This study will utilize four instruments to measure these variables: University of Rhode Island Change Assessment (URICA: DiClemente & Hughes, 1990); Cumulative Trauma Scale (Kira, 2012); Acculturation Rating Scale for Arabic Americans-II Arabic and English (ARSAA-IIA, ARSAA-IIE: Jadalla & Lee, 2013), and a demographic survey. This study will examine 1) the relationship between stages of change, gender, acculturation levels, and trauma types and Arab refugees’ help-seeking behavior, 2) the degree to which any of these variables can predict Arab refugee help-seeking behavior.  Additionally, the outcome of this study could provide researchers and clinicians with a stage-based model, TTM, for measuring Arab refugees’ help-seeking behavior and lay a foundation for how TTM can help target the clinical needs of Arab refugees. Lastly, this attempt to apply the TTM model to Arab refugees’ condition could lay the foundation for future research to investigate the application of TTM to clinical work among refugee populations.
• The purpose of this qualitative, phenomenological study is to describe the lived experiences of LLM for 10 EFL learners in rural Guatemala and to utilize that data to determine how it conforms to, or possibly challenges, current theoretical conceptions of LLM. In accordance with Morse’s (1994) suggestion that a phenomenological study should utilize at least six participants, this study utilized semi-structured interviews with 10 EFL learners to explore why and how they have experienced the motivation to learn English throughout their lives. The methodology of horizontalization was used to break the interview protocols into individual units of meaning before analyzing these units to extract the overarching themes (Moustakas, 1994). These themes were then interpreted into a detailed description of LLM as experienced by EFL students in this context. Finally, the resulting description was analyzed to discover how these learners’ lived experiences with LLM conformed with and/or diverged from current theories of LLM.
• The purpose of this qualitative, embedded, multiple case study was to examine how both parent-child attachment relationships are impacted by the quality of the paternal and maternal caregiver-child interactions that occur throughout a maternal deployment, within the context of dual-military couples. In order to examine this phenomenon, an embedded, multiple case study was conducted, utilizing an attachment systems metatheory perspective. The study included four dual-military couples who experienced a maternal deployment to Operation Iraqi Freedom (OIF) or Operation Enduring Freedom (OEF) when they had at least one child between 8 weeks-old to 5 years-old.  Each member of the couple participated in an individual, semi-structured interview with the researcher and completed the Parenting Relationship Questionnaire (PRQ). “The PRQ is designed to capture a parent’s perspective on the parent-child relationship” (Pearson, 2012, para. 1) and was used within the proposed study for this purpose. The PRQ was utilized to triangulate the data (Bekhet & Zauszniewski, 2012) as well as to provide some additional information on the parents’ perspective of the quality of the parent-child attachment relationship in regards to communication, discipline, parenting confidence, relationship satisfaction, and time spent together (Pearson, 2012). The researcher utilized the semi-structured interview to collect information regarding the parents' perspectives of the quality of their parental caregiver behaviors during the deployment cycle, the mother's parent-child interactions while deployed, the behavior of the child or children at time of reunification, and the strategies or behaviors the parents believe may have contributed to their child's behavior at the time of reunification. The results of this study may be utilized by the military, and by civilian providers, to develop proactive and preventive measures that both providers and parents can implement, to address any potential adverse effects on the parent-child attachment relationship, identified through the proposed study. The results of this study may also be utilized to further refine and understand the integration of attachment theory and systems theory, in both clinical and research settings, within the field of marriage and family therapy.

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Asking for help is hard, but others want to help more than we often give them credit for, says Stanford social psychologist Xuan Zhao .

Xuan Zhao (Image credit: Anne Ryan)

We shy away from asking for help because we don’t want to bother other people, assuming that our request will feel like an inconvenience to them. But oftentimes, the opposite is true: People want to make a difference in people’s lives and they feel good – happy even – when they are able to help others, said Zhao.

Here, Zhao discusses the research about how asking for help can lead to meaningful experiences and strengthen relationships with others – friends as well as strangers.

Zhao is a research scientist at Stanford SPARQ , a research center in the Psychology Department that brings researchers and practitioners together to fight bias, reduce disparities, and drive culture change. Zhao’s research focuses on helping people create better social interactions in person and online where they feel seen, heard, connected, and appreciated. Her research, recently published in Psychological Science ,  suggests that people regularly underestimate others’ willingness to help.

This fall, Zhao will be co-teaching a two-session workshop Science-Based Practices for a Flourishing Life through Stanford’s well-being program for employees, BeWell.

Why is asking for help hard? For someone who finds it difficult to ask for help, what would you like them to know?

There are several common reasons why people struggle to ask for help. Some people may fear that asking for help would make them appear incompetent, weak, or inferior – recent research from Stanford doctoral student Kayla Good finds that children as young as seven can hold this belief. Some people are concerned about being rejected, which can be embarrassing and painful. Others may be concerned about burdening and inconveniencing others – a topic I recently explored.  These concerns may feel more relevant in some contexts than others, but they are all very relatable and very human.

The good news is those concerns are oftentimes exaggerated and mistaken.

What do people misunderstand about asking for help?

When people are in need of help, they are often caught up in their own concerns and worries and do not fully recognize the prosocial motivations of those around them who are ready to help. This can introduce a persistent difference between how help-seekers and potential helpers consider the same helping event. To test this idea, we conducted several experiments where people either directly interacted with each other to seek and offer help, or imagined or recalled such experiences in everyday life. We consistently observed that help-seekers underestimated how willing strangers – and even friends – would be to help them and how positive helpers would feel afterward, and overestimated how inconvenienced helpers would feel.

These patterns are consistent with work by Stanford psychologist Dale Miller showing that when thinking about what motivates other people, we tend to apply a more pessimistic, self-interested view about human nature. After all, Western societies tend to value independence, so asking others to go out of their way to do something for us may seem wrong or selfish and may impose a somewhat negative experience on the helper.

The truth is, most of us are deeply prosocial and want to make a positive difference in others’ lives. Work by Stanford psychologist Jamil Zaki has shown that empathizing with and helping others in need seems to be an intuitive response, and dozens of studies , including my own, have found that people often feel happier after conducting acts of kindness. These findings extend earlier research by Stanford Professor Frank Flynn and colleagues suggesting that people tend to overestimate how likely their direct request for help would be rejected by others. Finally, other research has even shown that seeking advice can even boost how competent the help-seeker is seen by the advice-giver.

Why is asking for help particularly important? 

We love stories about spontaneous help, and that may explain why random acts of kindness go viral on social media. But in reality , the majority of help occurs only after a request has been made. It’s often not because people don’t want to help and must be pressed to do so. Quite the opposite, people want to help, but they can’t help if they don’t know someone is suffering or struggling, or what the other person needs and how to help effectively, or whether it is their place to help – perhaps they want to respect others’ privacy or agency. A direct request can remove those uncertainties, such that asking for help enables kindness and unlocks opportunities for positive social connections. It can also create emotional closeness when you realize someone trusts you enough to share their vulnerabilities, and by working together toward a shared goal.

It feels like some requests for help may be harder to ask than others. What does research say about different types of help, and how can we use those insights to help us figure out how we should ask for help?

Many factors can influence how difficult it may feel to ask for help. Our recent research has primarily focused on everyday scenarios where the other person is clearly able to help, and all you need is to show up and ask. In some other cases, the kind of help you need may require more specific skills or resources. As long as you make your request Specific, Meaningful, Action-oriented, Realistic, and Time-bound (also known as the SMART criteria ), people will likely be happy to help and feel good after helping.

Of course, not all requests have to be specific. When we face mental health challenges, we may have difficulty articulating what kind of help we need. It is okay to reach out to mental health resources and take the time to figure things out together. They are there to help, and they are happy to help.

You mentioned how cultural norms can get in the way of people asking for help. What is one thing we can all do to rethink the role society plays in our lives?

Work on independent and interdependent cultures by Hazel Markus , faculty director of Stanford SPARQ , can shed much light on this issue. Following her insights, I think we can all benefit from having a little bit more interdependency in our micro- and macro-environments. For instance, instead of promoting “self-care” and implying that it is people’s own responsibility to sort through their own struggles, perhaps our culture could emphasize the value of caring for each other and create more safe spaces to allow open discussions about our challenges and imperfections.

What inspired your research?

I have always been fascinated by social interaction – how we understand and misunderstand each other’s minds, and how social psychology can help people create more positive and meaningful connections. That’s why I have studied topics such as giving compliments , discussing disagreement , sharing personal failures, creating inclusive conversations on social media , and translating social and positive psychology research as daily practices for the public . This project is also motivated by that general passion.

But a more immediate trigger of this project is reading scholarly work suggesting that the reason why people underestimate their likelihood of getting help is because they don’t recognize how uncomfortable and awkward it would be for someone to say “no” to their request. I agree that people underestimate their chance of getting help upon a direct ask, but based on my personal experience, I saw a different reason – when people ask me for help, I often feel genuinely motivated to help them, more than feeling social pressure and a wish to avoid saying no. This project is to voice my different interpretation on why people agree to help. And given that I’ve seen people who have struggled for too long until it was too late to ask for help, I hope my findings can offer them a bit more comfort when the next time they can really use a helping hand and are debating whether they should ask.

Artificial intelligence in strategy

Can machines automate strategy development? The short answer is no. However, there are numerous aspects of strategists’ work where AI and advanced analytics tools can already bring enormous value. Yuval Atsmon is a senior partner who leads the new McKinsey Center for Strategy Innovation, which studies ways new technologies can augment the timeless principles of strategy. In this episode of the Inside the Strategy Room podcast, he explains how artificial intelligence is already transforming strategy and what’s on the horizon. This is an edited transcript of the discussion. For more conversations on the strategy issues that matter, follow the series on your preferred podcast platform .

Joanna Pachner: What does artificial intelligence mean in the context of strategy?

Yuval Atsmon: When people talk about artificial intelligence, they include everything to do with analytics, automation, and data analysis. Marvin Minsky, the pioneer of artificial intelligence research in the 1960s, talked about AI as a “suitcase word”—a term into which you can stuff whatever you want—and that still seems to be the case. We are comfortable with that because we think companies should use all the capabilities of more traditional analysis while increasing automation in strategy that can free up management or analyst time and, gradually, introducing tools that can augment human thinking.

Joanna Pachner: AI has been embraced by many business functions, but strategy seems to be largely immune to its charms. Why do you think that is?

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Yuval Atsmon: You’re right about the limited adoption. Only 7 percent of respondents to our survey about the use of AI say they use it in strategy or even financial planning, whereas in areas like marketing, supply chain, and service operations, it’s 25 or 30 percent. One reason adoption is lagging is that strategy is one of the most integrative conceptual practices. When executives think about strategy automation, many are looking too far ahead—at AI capabilities that would decide, in place of the business leader, what the right strategy is. They are missing opportunities to use AI in the building blocks of strategy that could significantly improve outcomes.

I like to use the analogy to virtual assistants. Many of us use Alexa or Siri but very few people use these tools to do more than dictate a text message or shut off the lights. We don’t feel comfortable with the technology’s ability to understand the context in more sophisticated applications. AI in strategy is similar: it’s hard for AI to know everything an executive knows, but it can help executives with certain tasks.

When executives think about strategy automation, many are looking too far ahead—at AI deciding the right strategy. They are missing opportunities to use AI in the building blocks of strategy.

Joanna Pachner: What kind of tasks can AI help strategists execute today?

Yuval Atsmon: We talk about six stages of AI development. The earliest is simple analytics, which we refer to as descriptive intelligence. Companies use dashboards for competitive analysis or to study performance in different parts of the business that are automatically updated. Some have interactive capabilities for refinement and testing.

The second level is diagnostic intelligence, which is the ability to look backward at the business and understand root causes and drivers of performance. The level after that is predictive intelligence: being able to anticipate certain scenarios or options and the value of things in the future based on momentum from the past as well as signals picked in the market. Both diagnostics and prediction are areas that AI can greatly improve today. The tools can augment executives’ analysis and become areas where you develop capabilities. For example, on diagnostic intelligence, you can organize your portfolio into segments to understand granularly where performance is coming from and do it in a much more continuous way than analysts could. You can try 20 different ways in an hour versus deploying one hundred analysts to tackle the problem.

Predictive AI is both more difficult and more risky. Executives shouldn’t fully rely on predictive AI, but it provides another systematic viewpoint in the room. Because strategic decisions have significant consequences, a key consideration is to use AI transparently in the sense of understanding why it is making a certain prediction and what extrapolations it is making from which information. You can then assess if you trust the prediction or not. You can even use AI to track the evolution of the assumptions for that prediction.

Those are the levels available today. The next three levels will take time to develop. There are some early examples of AI advising actions for executives’ consideration that would be value-creating based on the analysis. From there, you go to delegating certain decision authority to AI, with constraints and supervision. Eventually, there is the point where fully autonomous AI analyzes and decides with no human interaction.

Because strategic decisions have significant consequences, you need to understand why AI is making a certain prediction and what extrapolations it’s making from which information.

Joanna Pachner: What kind of businesses or industries could gain the greatest benefits from embracing AI at its current level of sophistication?

Yuval Atsmon: Every business probably has some opportunity to use AI more than it does today. The first thing to look at is the availability of data. Do you have performance data that can be organized in a systematic way? Companies that have deep data on their portfolios down to business line, SKU, inventory, and raw ingredients have the biggest opportunities to use machines to gain granular insights that humans could not.

Companies whose strategies rely on a few big decisions with limited data would get less from AI. Likewise, those facing a lot of volatility and vulnerability to external events would benefit less than companies with controlled and systematic portfolios, although they could deploy AI to better predict those external events and identify what they can and cannot control.

Third, the velocity of decisions matters. Most companies develop strategies every three to five years, which then become annual budgets. If you think about strategy in that way, the role of AI is relatively limited other than potentially accelerating analyses that are inputs into the strategy. However, some companies regularly revisit big decisions they made based on assumptions about the world that may have since changed, affecting the projected ROI of initiatives. Such shifts would affect how you deploy talent and executive time, how you spend money and focus sales efforts, and AI can be valuable in guiding that. The value of AI is even bigger when you can make decisions close to the time of deploying resources, because AI can signal that your previous assumptions have changed from when you made your plan.

Joanna Pachner: Can you provide any examples of companies employing AI to address specific strategic challenges?

Yuval Atsmon: Some of the most innovative users of AI, not coincidentally, are AI- and digital-native companies. Some of these companies have seen massive benefits from AI and have increased its usage in other areas of the business. One mobility player adjusts its financial planning based on pricing patterns it observes in the market. Its business has relatively high flexibility to demand but less so to supply, so the company uses AI to continuously signal back when pricing dynamics are trending in a way that would affect profitability or where demand is rising. This allows the company to quickly react to create more capacity because its profitability is highly sensitive to keeping demand and supply in equilibrium.

Joanna Pachner: Given how quickly things change today, doesn’t AI seem to be more a tactical than a strategic tool, providing time-sensitive input on isolated elements of strategy?

Yuval Atsmon: It’s interesting that you make the distinction between strategic and tactical. Of course, every decision can be broken down into smaller ones, and where AI can be affordably used in strategy today is for building blocks of the strategy. It might feel tactical, but it can make a massive difference. One of the world’s leading investment firms, for example, has started to use AI to scan for certain patterns rather than scanning individual companies directly. AI looks for consumer mobile usage that suggests a company’s technology is catching on quickly, giving the firm an opportunity to invest in that company before others do. That created a significant strategic edge for them, even though the tool itself may be relatively tactical.

Joanna Pachner: McKinsey has written a lot about cognitive biases  and social dynamics that can skew decision making. Can AI help with these challenges?

Yuval Atsmon: When we talk to executives about using AI in strategy development, the first reaction we get is, “Those are really big decisions; what if AI gets them wrong?” The first answer is that humans also get them wrong—a lot. [Amos] Tversky, [Daniel] Kahneman, and others have proven that some of those errors are systemic, observable, and predictable. The first thing AI can do is spot situations likely to give rise to biases. For example, imagine that AI is listening in on a strategy session where the CEO proposes something and everyone says “Aye” without debate and discussion. AI could inform the room, “We might have a sunflower bias here,” which could trigger more conversation and remind the CEO that it’s in their own interest to encourage some devil’s advocacy.

We also often see confirmation bias, where people focus their analysis on proving the wisdom of what they already want to do, as opposed to looking for a fact-based reality. Just having AI perform a default analysis that doesn’t aim to satisfy the boss is useful, and the team can then try to understand why that is different than the management hypothesis, triggering a much richer debate.

In terms of social dynamics, agency problems can create conflicts of interest. Every business unit [BU] leader thinks that their BU should get the most resources and will deliver the most value, or at least they feel they should advocate for their business. AI provides a neutral way based on systematic data to manage those debates. It’s also useful for executives with decision authority, since we all know that short-term pressures and the need to make the quarterly and annual numbers lead people to make different decisions on the 31st of December than they do on January 1st or October 1st. Like the story of Ulysses and the sirens, you can use AI to remind you that you wanted something different three months earlier. The CEO still decides; AI can just provide that extra nudge.

Joanna Pachner: It’s like you have Spock next to you, who is dispassionate and purely analytical.

Yuval Atsmon: That is not a bad analogy—for Star Trek fans anyway.

Joanna Pachner: Do you have a favorite application of AI in strategy?

Yuval Atsmon: I have worked a lot on resource allocation, and one of the challenges, which we call the hockey stick phenomenon, is that executives are always overly optimistic about what will happen. They know that resource allocation will inevitably be defined by what you believe about the future, not necessarily by past performance. AI can provide an objective prediction of performance starting from a default momentum case: based on everything that happened in the past and some indicators about the future, what is the forecast of performance if we do nothing? This is before we say, “But I will hire these people and develop this new product and improve my marketing”— things that every executive thinks will help them overdeliver relative to the past. The neutral momentum case, which AI can calculate in a cold, Spock-like manner, can change the dynamics of the resource allocation discussion. It’s a form of predictive intelligence accessible today and while it’s not meant to be definitive, it provides a basis for better decisions.

Joanna Pachner: Do you see access to technology talent as one of the obstacles to the adoption of AI in strategy, especially at large companies?

Yuval Atsmon: I would make a distinction. If you mean machine-learning and data science talent or software engineers who build the digital tools, they are definitely not easy to get. However, companies can increasingly use platforms that provide access to AI tools and require less from individual companies. Also, this domain of strategy is exciting—it’s cutting-edge, so it’s probably easier to get technology talent for that than it might be for manufacturing work.

The bigger challenge, ironically, is finding strategists or people with business expertise to contribute to the effort. You will not solve strategy problems with AI without the involvement of people who understand the customer experience and what you are trying to achieve. Those who know best, like senior executives, don’t have time to be product managers for the AI team. An even bigger constraint is that, in some cases, you are asking people to get involved in an initiative that may make their jobs less important. There could be plenty of opportunities for incorpo­rating AI into existing jobs, but it’s something companies need to reflect on. The best approach may be to create a digital factory where a different team tests and builds AI applications, with oversight from senior stakeholders.

The big challenge is finding strategists to contribute to the AI effort. You are asking people to get involved in an initiative that may make their jobs less important.

Joanna Pachner: Do you think this worry about job security and the potential that AI will automate strategy is realistic?

Yuval Atsmon: The question of whether AI will replace human judgment and put humanity out of its job is a big one that I would leave for other experts.

The pertinent question is shorter-term automation. Because of its complexity, strategy would be one of the later domains to be affected by automation, but we are seeing it in many other domains. However, the trend for more than two hundred years has been that automation creates new jobs, although ones requiring different skills. That doesn’t take away the fear some people have of a machine exposing their mistakes or doing their job better than they do it.

Joanna Pachner: We recently published an article about strategic courage in an age of volatility  that talked about three types of edge business leaders need to develop. One of them is an edge in insights. Do you think AI has a role to play in furnishing a proprietary insight edge?

Yuval Atsmon: One of the challenges most strategists face is the overwhelming complexity of the world we operate in—the number of unknowns, the information overload. At one level, it may seem that AI will provide another layer of complexity. In reality, it can be a sharp knife that cuts through some of the clutter. The question to ask is, Can AI simplify my life by giving me sharper, more timely insights more easily?

Joanna Pachner: You have been working in strategy for a long time. What sparked your interest in exploring this intersection of strategy and new technology?

Yuval Atsmon: I have always been intrigued by things at the boundaries of what seems possible. Science fiction writer Arthur C. Clarke’s second law is that to discover the limits of the possible, you have to venture a little past them into the impossible, and I find that particularly alluring in this arena.

AI in strategy is in very nascent stages but could be very consequential for companies and for the profession. For a top executive, strategic decisions are the biggest way to influence the business, other than maybe building the top team, and it is amazing how little technology is leveraged in that process today. It’s conceivable that competitive advantage will increasingly rest in having executives who know how to apply AI well. In some domains, like investment, that is already happening, and the difference in returns can be staggering. I find helping companies be part of that evolution very exciting.

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Reproductive rights in America

Despite state bans, abortions nationwide are up, driven by telehealth.

Elissa Nadworny

Abortion rights activists at the Supreme Court in Washington, D.C. on March 26, the day the case about the abortion drug mifepristone was heard. The number of abortions in the U.S. increased, a study says, surprising researchers. Drew Angerer/AFP via Getty Images hide caption

Abortion rights activists at the Supreme Court in Washington, D.C. on March 26, the day the case about the abortion drug mifepristone was heard. The number of abortions in the U.S. increased, a study says, surprising researchers.

In the 18 months following the Supreme Court's decision that ended federal protection for abortion, the number of abortions in the U.S. has continued to grow, according to The Society of Family Planning's WeCount project .

"We are seeing a slow and small steady increase in the number of abortions per month and this was completely surprising to us," says Ushma Upadhyay , a professor and public health scientist at the University of California, San Francisco who co-leads the research. According to the report, in 2023 there were, on average, 86,000 abortions per month compared to 2022, where there were about 82,000 abortions per month. "Not huge," says Upadhyay, "but we were expecting a decline."

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What's at stake in the supreme court mifepristone case.

The slight increase comes despite the fact that 14 states had total abortion bans in place during the time of the research. According to the report, there were about 145,000 fewer abortions in person in those states since the Dobbs decision, which triggered many of the restrictive state laws.

"We know that there are people living in states with bans who are not getting their needed abortions," says Upadhyay. "The concern we have is that that might be overlooked by these increases."

Florida, California and Illinois saw the largest surges in abortions, which is especially interesting given Florida's recent 6-week ban that started on May 1.

Abortion rights opponents demonstrate in New York City, on March 23. Some states' abortion bans are known as "heartbeat bills," because they make abortion illegal after cardiac activity starts, usually around six weeks of pregnancy. Kena Betancur/AFP via Getty Images hide caption

Abortion rights opponents demonstrate in New York City, on March 23. Some states' abortion bans are known as "heartbeat bills," because they make abortion illegal after cardiac activity starts, usually around six weeks of pregnancy.

The latest report also captures for the first time the impact of providers offering telehealth abortions from states with protections for doctors and clinics known as shield laws – statutes that say they can't be prosecuted or held liable for providing abortion care to people from other states.

Between July and December 2023, more than 40,000 people in states with abortion bans and telehealth restrictions received medication abortion through providers in states protected by shield laws. Abortion pills can be prescribed via telehealth appointments and sent through the mail; the pills can safely end pregnancies in the first trimester.

The report includes abortions happening within the U.S. health care system, and does not include self-managed abortions, when people take pills at home without the oversight of a clinician. For that reason, researchers believe these numbers are still an undercount of abortions happening in the U.S.

Tessa Longbons Cox is a senior research associate at Charlotte Lozier Institute, a research organization that opposes abortion. She says the WeCount report, "highlights a concerning trend" that policies around mail-order abortion pills are boosting abortion rates. "By recklessly removing in-person medical visits and safeguards, abortion advocates have put women's health and safety last," Longbons Cox says in a statement.

Accounting for the increases

A major factor in the uptick in abortions nationwide is the rise of telehealth, made possible in part by regulations first loosened during the coronavirus pandemic.

According to the report, telehealth abortions now make up 19% of all abortions in the U.S. In comparison, the first WeCount report which spanned April 2022 through August 2022 showed telehealth abortions accounted for just 4% of all abortions. Research has shown that telehealth abortions are as safe and effective as in-clinic care.

"It's affordable, it's convenient, and it feels more private," says Jillian Barovick, a midwife in Brooklyn and one of the co-founders of Juniper Midwifery , which offers medication abortion via telehealth to patients in six states where abortion is legal. The organization saw its first patient in August 2022 and now treats about 300 patients a month.

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"Having an in-clinic abortion, even a medication abortion, you could potentially be in the clinic for hours, whereas with us you get to sort of bypass all of that," she says. Instead, patients can connect with a clinician using text messages or a secure messaging platform. In addition to charging $100 dollars for the consultation and medication – which is well below the average cost of an abortion – Barovick points to the cost savings of not having to take off work or arrange child care to spend multiple hours in a clinic.

She says her patients receive their medication within 1 to 4 business days, "often faster than you can get an appointment in a clinic."

A study published in JAMA Internal Medicine on Monday followed about 500 women who had medication abortions with the pills distributed via mail order pharmacy after an in-person visit with a doctor. More than 90% of the patients were satisfied with the experience; there were three serious adverse events that required hospitalization.

In addition to expansions in telehealth, there have been new clinics in states like Kansas, Illinois and New Mexico, and there's been an increase in funding for abortion care – fueled by private donors and abortion funds.

The impact of shield laws

During the period from October to December 2023, nearly 8,000 people per month in states with bans or severe restrictions accessed medication abortions from clinicians providing telehealth in the 5 states that had shield laws at the time. That's nearly half of all monthly telehealth abortions.

"It's telemedicine overall that is meeting the need of people who either want to or need to remain in their banned or restricted state for their care," says Angel Foster, who founded The MAP, a group practice operating a telehealth model under Massachusetts' shield laws. "If you want to have your abortion care in your state and you live in Texas or Mississippi or Missouri, right now, the shield law provision is by far the most dominant way that you'd be able to get that care."

Foster's group offers medication abortions for about 500 patients a month. About 90% of their patients are in banned or restrictive states; about a third are from Texas, their most common state of origin, followed by Florida.

"Patients are scared that we are a scam," she says, "they can't believe that we're legit."

Since the WeCount data was collected, additional states including Maine and California have passed shield laws protecting providers who offer care nationwide. The new shield laws circumvent traditional telemedicine laws, which often require out-of-state health providers to be licensed in the states where patients are located. States with abortion bans or restrictions and/or telehealth bans hold the provider at fault, not the patient.

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One small pill — one big court case.

Existing lawsuits brought by abortion opponents, including the case awaiting a Supreme Court decision, have the potential to disrupt this telehealth surge by restricting the use of the drug mifepristone nationwide. If the Supreme Court upholds an appeals court ruling, providers would be essentially barred from mailing the drug and an in-person doctor visit would be required.

There is also an effort underway in Louisiana to classify abortion pills as a controlled substance.

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